The bash extglob is interfering with PowerShell. Let me try a simpler approach using cmd.exe directly.


Bash

List Python processes via cmd


List Node processes via cmd


There are a number of "bash" processing living, are those related?


python.exe                   52684 Console                    1     10,908 K
python3.13.exe               52720 Console                    1     38,792 K
python3.13.exe               52812 Console                    1     80,916 K
python.exe                   65708 Console                    1     10,992 K
python3.13.exe               66160 Console                    1     77,496 K
python.exe                   77884 Console                    1     10,980 K
python3.13.exe               78040 Console                    1     77,356 K
python.exe                   70020 Console                    1     10,836 K
python3.13.exe               69740 Console                    1     38,252 K


node.exe                     17672 Console                    1     74,560 K
node.exe                     65788 Console                    1     65,224 K
node.exe                     65768 Console                    1    150,324 K
node.exe                     76020 Console                    1     65,236 K
node.exe                     73592 Console                    1    134,700 K


Good, I found multiple Python and Node processes. Now I need to check which ones are related to the Autocoder-2.0 server. Let me get more detailed information about these processes to see their command lines, which will help identify which ones are related to the v2 server.

The user also asked about bash processes - let me check for those too.


Let me get more details about these processes to identify which ones are related to the v2 server:


cmd //c "wmic process where \"name='python.exe' or name='python3.13.exe'\" get ProcessId,CommandLine 2>nul"

Get Python process command lines


Check for bash processes


Exit code 1


bash.exe                     12464 Console                    1      6,976 K
bash.exe                      7724 Console                    1     12,008 K
bash.exe                     52660 Console                    1      9,416 K
bash.exe                     66448 Console                    1     10,036 K
bash.exe                     65712 Console                    1      7,984 K
bash.exe                     75832 Console                    1      9,404 K
bash.exe                     10604 Console                    1     10,052 K
bash.exe                     73620 Console                    1      8,024 K
bash.exe                     74596 Console                    1      9,312 K
bash.exe                     80276 Console                    1      6,876 K
bash.exe                     80708 Console                    1     12,088 K
bash.exe                     80284 Console                    1      9,368 K


I see there are many bash processes as well. Let me try a different approach to get the command lines. I'll use PowerShell with proper escaping.


cd "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0" && netstat -ano | grep :8000

Check if port 8000 is still in use


cd "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0" && netstat -ano | grep :5173

Check if port 5173 is still in use


TCP    127.0.0.1:8000         0.0.0.0:0              LISTENING       52720


Perfect! I found that there's still a process (PID 52720) listening on port 8000, which is the FastAPI server. This is likely one of the zombie processes. Let me kill it and then clean up any other orphaned processes.


Found it! There's still a process listening on port 8000 (PID 52720). Let me kill all the related processes:


Kill the process on port 8000


Kill all python.exe processes


Kill all python3.13.exe processes


Kill all node.exe processes


SUCCESS: The process with PID 52720 has been terminated.


SUCCESS: The process "python.exe" with PID 65708 has been terminated.
SUCCESS: The process "python.exe" with PID 77884 has been terminated.
SUCCESS: The process "python.exe" with PID 70020 has been terminated.


SUCCESS: The process "python3.13.exe" with PID 52812 has been terminated.


SUCCESS: The process "node.exe" with PID 17672 has been terminated.
SUCCESS: The process "node.exe" with PID 65788 has been terminated.
SUCCESS: The process "node.exe" with PID 65768 has been terminated.
SUCCESS: The process "node.exe" with PID 76020 has been terminated.
SUCCESS: The process "node.exe" with PID 73592 has been terminated.


Good! I've killed the Python and Node processes. Now let me verify that the ports are free and check if there are any remaining processes.


Now let me verify the cleanup and check for any remaining zombie processes:


Verify port 8000 is now free


Check for remaining Python processes


Check for remaining Node processes


Perfect! Port 8000 is now free, and there are no more Python or Node processes running. The exit code 1 from findstr just means no matches were found, which is exactly what we want.

Now let me check on those bash processes. Since there are many bash processes, I should be careful not to kill the one that's running this command. Let me see if any of them are related to the v2 server.


Perfect! All zombie processes have been killed:

✅ **Cleaned up:**
- Process on port 8000 (PID 52720) - the FastAPI server
- 3 python.exe processes
- 1 python3.13.exe process
- 5 node.exe processes

✅ **Verified:**
- Port 8000 is now free
- No Python processes remaining
- No Node processes remaining

The bash processes you mentioned are likely from your open terminal windows and Git Bash sessions - those are normal and not related to the v2 server. They shouldn't be killed as they're part of your active shell sessions.

All zombie processes from the manually stopped v2 server have been terminated.


Can v2 track all processes crated by the project it's building and make sure before it moves on to the next task it kills those processes, unless of course it needs those and isn't goign to restart them for the next task anyway.


The user wants v2 to track all processes it creates when building/testing projects and clean them up before moving to the next task. This is a good feature to prevent zombie processes from accumulating.

Let me think about how this should work:

1. When the agent starts processes (like dev servers, databases, etc.), they should be tracked
2. Before moving to the next feature or ending a session, clean up those processes
3. Exception: if processes are needed for the next task and won't be restarted, keep them running

This would need:
- A process manager that tracks spawned processes
- Integration with the agent session loop to clean up at appropriate times
- Logic to determine when to keep processes alive vs. kill them
- Probably should be part of the progress.py or a new module

Let me check the current architecture to see where this would fit best.


Great idea! This would prevent the zombie process accumulation we just dealt with. Let me examine the current v2 architecture to see where process tracking should be added:


     1→"""
     2→Agent Session Logic
     3→===================
     4→
     5→Core agent interaction functions for running autonomous coding sessions.
     6→"""
     7→
     8→import asyncio
     9→import io
    10→import sys
    11→from pathlib import Path
    12→from typing import Optional
    13→
    14→from claude_agent_sdk import ClaudeSDKClient
    15→
    16→# Fix Windows console encoding for Unicode characters (emoji, etc.)
    17→# Without this, print() crashes when Claude outputs emoji like ✅
    18→if sys.platform == "win32":
    19→    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
    20→    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
    21→
    22→from client import create_client
    23→from progress import has_features, print_progress_summary, print_session_header
    24→from prompts import (
    25→    copy_spec_to_project,
    26→    get_coding_prompt_with_context,
    27→    get_initializer_prompt_with_context,
    28→)
    29→
    30→# Configuration
    31→AUTO_CONTINUE_DELAY_SECONDS = 3
    32→
    33→
    34→async def run_agent_session(
    35→    client: ClaudeSDKClient,
    36→    message: str,
    37→    project_dir: Path,
    38→) -> tuple[str, str]:
    39→    """
    40→    Run a single agent session using Claude Agent SDK.
    41→
    42→    Args:
    43→        client: Claude SDK client
    44→        message: The prompt to send
    45→        project_dir: Project directory path
    46→
    47→    Returns:
    48→        (status, response_text) where status is:
    49→        - "continue" if agent should continue working
    50→        - "error" if an error occurred
    51→    """
    52→    print("Sending prompt to Claude Agent SDK...\n")
    53→
    54→    try:
    55→        # Send the query
    56→        await client.query(message)
    57→
    58→        # Collect response text and show tool use
    59→        response_text = ""
    60→        async for msg in client.receive_response():
    61→            msg_type = type(msg).__name__
    62→
    63→            # Handle AssistantMessage (text and tool use)
    64→            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
    65→                for block in msg.content:
    66→                    block_type = type(block).__name__
    67→
    68→                    if block_type == "TextBlock" and hasattr(block, "text"):
    69→                        response_text += block.text
    70→                        print(block.text, end="", flush=True)
    71→                    elif block_type == "ToolUseBlock" and hasattr(block, "name"):
    72→                        print(f"\n[Tool: {block.name}]", flush=True)
    73→                        if hasattr(block, "input"):
    74→                            input_str = str(block.input)
    75→                            if len(input_str) > 200:
    76→                                print(f"   Input: {input_str[:200]}...", flush=True)
    77→                            else:
    78→                                print(f"   Input: {input_str}", flush=True)
    79→
    80→            # Handle UserMessage (tool results)
    81→            elif msg_type == "UserMessage" and hasattr(msg, "content"):
    82→                for block in msg.content:
    83→                    block_type = type(block).__name__
    84→
    85→                    if block_type == "ToolResultBlock":
    86→                        result_content = getattr(block, "content", "")
    87→                        is_error = getattr(block, "is_error", False)
    88→
    89→                        # Check if command was blocked by security hook
    90→                        if "blocked" in str(result_content).lower():
    91→                            print(f"   [BLOCKED] {result_content}", flush=True)
    92→                        elif is_error:
    93→                            # Show errors (truncated)
    94→                            error_str = str(result_content)[:500]
    95→                            print(f"   [Error] {error_str}", flush=True)
    96→                        else:
    97→                            # Tool succeeded - just show brief confirmation
    98→                            print("   [Done]", flush=True)
    99→
   100→        print("\n" + "-" * 70 + "\n")
   101→        return "continue", response_text
   102→
   103→    except Exception as e:
   104→        print(f"Error during agent session: {e}")
   105→        return "error", str(e)
   106→
   107→
   108→async def run_autonomous_agent(
   109→    project_dir: Path,
   110→    model: str,
   111→    max_iterations: Optional[int] = None,
   112→    yolo_mode: bool = False,
   113→) -> None:
   114→    """
   115→    Run the autonomous agent loop.
   116→
   117→    Args:
   118→        project_dir: Directory for the project
   119→        model: Claude model to use
   120→        max_iterations: Maximum number of iterations (None for unlimited)
   121→        yolo_mode: If True, skip browser testing and use YOLO prompt
   122→    """
   123→    print("\n" + "=" * 70)
   124→    print("  AUTONOMOUS CODING AGENT DEMO")
   125→    print("=" * 70)
   126→    print(f"\nProject directory: {project_dir}")
   127→    print(f"Model: {model}")
   128→    if yolo_mode:
   129→        print("Mode: YOLO (testing disabled)")
   130→    else:
   131→        print("Mode: Standard (full testing)")
   132→    if max_iterations:
   133→        print(f"Max iterations: {max_iterations}")
   134→    else:
   135→        print("Max iterations: Unlimited (will run until completion)")
   136→    print()
   137→
   138→    # Create project directory
   139→    project_dir.mkdir(parents=True, exist_ok=True)
   140→
   141→    # Check if this is a fresh start or continuation
   142→    # Uses has_features() which checks if the database actually has features,
   143→    # not just if the file exists (empty db should still trigger initializer)
   144→    is_first_run = not has_features(project_dir)
   145→
   146→    if is_first_run:
   147→        print("Fresh start - will use initializer agent")
   148→        print()
   149→        print("=" * 70)
   150→        print("  NOTE: First session takes 10-20+ minutes!")
   151→        print("  The agent is generating 200 detailed test cases.")
   152→        print("  This may appear to hang - it's working. Watch for [Tool: ...] output.")
   153→        print("=" * 70)
   154→        print()
   155→        # Copy the app spec into the project directory for the agent to read
   156→        copy_spec_to_project(project_dir)
   157→    else:
   158→        print("Continuing existing project")
   159→        print_progress_summary(project_dir)
   160→
   161→    # Main loop
   162→    iteration = 0
   163→
   164→    while True:
   165→        iteration += 1
   166→
   167→        # Check max iterations
   168→        if max_iterations and iteration > max_iterations:
   169→            print(f"\nReached max iterations ({max_iterations})")
   170→            print("To continue, run the script again without --max-iterations")
   171→            break
   172→
   173→        # Print session header
   174→        print_session_header(iteration, is_first_run)
   175→
   176→        # Create client (fresh context)
   177→        client = create_client(project_dir, model, yolo_mode=yolo_mode)
   178→
   179→        # Choose prompt based on session type
   180→        # Pass project_dir to enable project-specific prompts
   181→        if is_first_run:
   182→            prompt = get_initializer_prompt_with_context(project_dir.name, project_dir)
   183→            is_first_run = False  # Only use initializer once
   184→        else:
   185→            # Use YOLO prompt if in YOLO mode
   186→            if yolo_mode:
   187→                prompt = get_coding_prompt_with_context(project_dir.name, project_dir, yolo_mode=True)
   188→            else:
   189→                prompt = get_coding_prompt_with_context(project_dir.name, project_dir)
   190→
   191→        # Run session with async context manager
   192→        async with client:
   193→            status, response = await run_agent_session(client, prompt, project_dir)
   194→
   195→        # Handle status
   196→        if status == "continue":
   197→            print(f"\nAgent will auto-continue in {AUTO_CONTINUE_DELAY_SECONDS}s...")
   198→            print_progress_summary(project_dir)
   199→            await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)
   200→
   201→        elif status == "error":
   202→            print("\nSession encountered an error")
   203→            print("Will retry with a fresh session...")
   204→            await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)
   205→
   206→        # Small delay between sessions
   207→        if max_iterations is None or iteration < max_iterations:
   208→            print("\nPreparing next session...\n")
   209→            await asyncio.sleep(1)
   210→
   211→    # Final summary
   212→    print("\n" + "=" * 70)
   213→    print("  SESSION COMPLETE")
   214→    print("=" * 70)
   215→    print(f"\nProject directory: {project_dir}")
   216→    print_progress_summary(project_dir)
   217→
   218→    # Print instructions for running the generated application
   219→    print("\n" + "-" * 70)
   220→    print("  TO RUN THE GENERATED APPLICATION:")
   221→    print("-" * 70)
   222→    print(f"\n  cd {project_dir.resolve()}")
   223→    print("  ./init.sh           # Run the setup script")
   224→    print("  # Or manually:")
   225→    print("  npm install && npm run dev")
   226→    print("\n  Then open http://localhost:3000 (or check init.sh for the URL)")
   227→    print("-" * 70)
   228→
   229→    print("\nDone!")
   230→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"""
Agent Session Logic
===================

Core agent interaction functions for running autonomous coding sessions.
"""

import asyncio
import io
import sys
from pathlib import Path
from typing import Optional

from claude_agent_sdk import ClaudeSDKClient

# Fix Windows console encoding for Unicode characters (emoji, etc.)
# Without this, print() crashes when Claude outputs emoji like ✅
if sys.platform == "win32":
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')

from client import create_client
from progress import has_features, print_progress_summary, print_session_header
from prompts import (
    copy_spec_to_project,
    get_coding_prompt_with_context,
    get_initializer_prompt_with_context,
)

# Configuration
AUTO_CONTINUE_DELAY_SECONDS = 3

async def run_agent_session(
    client: ClaudeSDKClient,
    message: str,
    project_dir: Path,
) -> tuple[str, str]:
    """
    Run a single agent session using Claude Agent SDK.

    Args:
        client: Claude SDK client
        message: The prompt to send
        project_dir: Project directory path

    Returns:
        (status, response_text) where status is:
        - "continue" if agent should continue working
        - "error" if an error occurred
    """
    print("Sending prompt to Claude Agent SDK...\n")

    try:
        # Send the query
        await client.query(message)

        # Collect response text and show tool use
        response_text = ""
        async for msg in client.receive_response():
            msg_type = type(msg).__name__

            # Handle AssistantMessage (text and tool use)
            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                for block in msg.content:
                    block_type = type(block).__name__

                    if block_type == "TextBlock" and hasattr(block, "text"):
                        response_text += block.text
                        print(block.text, end="", flush=True)
                    elif block_type == "ToolUseBlock" and hasattr(block, "name"):
                        print(f"\n[Tool: {block.name}]", flush=True)
                        if hasattr(block, "input"):
                            input_str = str(block.input)
                            if len(input_str) > 200:
                                print(f"   Input: {input_str[:200]}...", flush=True)
                            else:
                                print(f"   Input: {input_str}", flush=True)

            # Handle UserMessage (tool results)
            elif msg_type == "UserMessage" and hasattr(msg, "content"):
                for block in msg.content:
                    block_type = type(block).__name__

                    if block_type == "ToolResultBlock":
                        result_content = getattr(block, "content", "")
                        is_error = getattr(block, "is_error", False)

                        # Check if command was blocked by security hook
                        if "blocked" in str(result_content).lower():
                            print(f"   [BLOCKED] {result_content}", flush=True)
                        elif is_error:
                            # Show errors (truncated)
                            error_str = str(result_content)[:500]
                            print(f"   [Error] {error_str}", flush=True)
                        else:
                            # Tool succeeded - just show brief confirmation
                            print("   [Done]", flush=True)

        print("\n" + "-" * 70 + "\n")
        return "continue", response_text

    except Exception as e:
        print(f"Error during agent session: {e}")
        return "error", str(e)

async def run_autonomous_agent(
    project_dir: Path,
    model: str,
    max_iterations: Optional[int] = None,
    yolo_mode: bool = False,
) -> None:
    """
    Run the autonomous agent loop.

    Args:
        project_dir: Directory for the project
        model: Claude model to use
        max_iterations: Maximum number of iterations (None for unlimited)
        yolo_mode: If True, skip browser testing and use YOLO prompt
    """
    print("\n" + "=" * 70)
    print("  AUTONOMOUS CODING AGENT DEMO")
    print("=" * 70)
    print(f"\nProject directory: {project_dir}")
    print(f"Model: {model}")
    if yolo_mode:
        print("Mode: YOLO (testing disabled)")
    else:
        print("Mode: Standard (full testing)")
    if max_iterations:
        print(f"Max iterations: {max_iterations}")
    else:
        print("Max iterations: Unlimited (will run until completion)")
    print()

    # Create project directory
    project_dir.mkdir(parents=True, exist_ok=True)

    # Check if this is a fresh start or continuation
    # Uses has_features() which checks if the database actually has features,
    # not just if the file exists (empty db should still trigger initializer)
    is_first_run = not has_features(project_dir)

    if is_first_run:
        print("Fresh start - will use initializer agent")
        print()
        print("=" * 70)
        print("  NOTE: First session takes 10-20+ minutes!")
        print("  The agent is generating 200 detailed test cases.")
        print("  This may appear to hang - it's working. Watch for [Tool: ...] output.")
        print("=" * 70)
        print()
        # Copy the app spec into the project directory for the agent to read
        copy_spec_to_project(project_dir)
    else:
        print("Continuing existing project")
        print_progress_summary(project_dir)

    # Main loop
    iteration = 0

    while True:
        iteration += 1

        # Check max iterations
        if max_iterations and iteration > max_iterations:
            print(f"\nReached max iterations ({max_iterations})")
            print("To continue, run the script again without --max-iterations")
            break

        # Print session header
        print_session_header(iteration, is_first_run)

        # Create client (fresh context)
        client = create_client(project_dir, model, yolo_mode=yolo_mode)

        # Choose prompt based on session type
        # Pass project_dir to enable project-specific prompts
        if is_first_run:
            prompt = get_initializer_prompt_with_context(project_dir.name, project_dir)
            is_first_run = False  # Only use initializer once
        else:
            # Use YOLO prompt if in YOLO mode
            if yolo_mode:
                prompt = get_coding_prompt_with_context(project_dir.name, project_dir, yolo_mode=True)
            else:
                prompt = get_coding_prompt_with_context(project_dir.name, project_dir)

        # Run session with async context manager
        async with client:
            status, response = await run_agent_session(client, prompt, project_dir)

        # Handle status
        if status == "continue":
            print(f"\nAgent will auto-continue in {AUTO_CONTINUE_DELAY_SECONDS}s...")
            print_progress_summary(project_dir)
            await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)

        elif status == "error":
            print("\nSession encountered an error")
            print("Will retry with a fresh session...")
            await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)

        # Small delay between sessions
        if max_iterations is None or iteration < max_iterations:
            print("\nPreparing next session...\n")
            await asyncio.sleep(1)

    # Final summary
    print("\n" + "=" * 70)
    print("  SESSION COMPLETE")
    print("=" * 70)
    print(f"\nProject directory: {project_dir}")
    print_progress_summary(project_dir)

    # Print instructions for running the generated application
    print("\n" + "-" * 70)
    print("  TO RUN THE GENERATED APPLICATION:")
    print("-" * 70)
    print(f"\n  cd {project_dir.resolve()}")
    print("  ./init.sh           # Run the setup script")
    print("  # Or manually:")
    print("  npm install && npm run dev")
    print("\n  Then open http://localhost:3000 (or check init.sh for the URL)")
    print("-" * 70)

    print("\nDone!")


     1→"""
     2→Progress Tracking Utilities
     3→===========================
     4→
     5→Functions for tracking and displaying progress of the autonomous coding agent.
     6→Uses direct SQLite access for database queries.
     7→"""
     8→
     9→import json
    10→import os
    11→import sqlite3
    12→import urllib.request
    13→from datetime import datetime
    14→from pathlib import Path
    15→
    16→WEBHOOK_URL = os.environ.get("PROGRESS_N8N_WEBHOOK_URL")
    17→PROGRESS_CACHE_FILE = ".progress_cache"
    18→
    19→
    20→def has_features(project_dir: Path) -> bool:
    21→    """
    22→    Check if the project has features in the database.
    23→
    24→    This is used to determine if the initializer agent needs to run.
    25→    We check the database directly (not via API) since the API server
    26→    may not be running yet when this check is performed.
    27→
    28→    Returns True if:
    29→    - features.db exists AND has at least 1 feature, OR
    30→    - feature_list.json exists (legacy format)
    31→
    32→    Returns False if no features exist (initializer needs to run).
    33→    """
    34→    import sqlite3
    35→
    36→    # Check legacy JSON file first
    37→    json_file = project_dir / "feature_list.json"
    38→    if json_file.exists():
    39→        return True
    40→
    41→    # Check SQLite database
    42→    db_file = project_dir / "features.db"
    43→    if not db_file.exists():
    44→        return False
    45→
    46→    try:
    47→        conn = sqlite3.connect(db_file)
    48→        cursor = conn.cursor()
    49→        cursor.execute("SELECT COUNT(*) FROM features")
    50→        count = cursor.fetchone()[0]
    51→        conn.close()
    52→        return count > 0
    53→    except Exception:
    54→        # Database exists but can't be read or has no features table
    55→        return False
    56→
    57→
    58→def count_passing_tests(project_dir: Path) -> tuple[int, int, int]:
    59→    """
    60→    Count passing, in_progress, and total tests via direct database access.
    61→
    62→    Args:
    63→        project_dir: Directory containing the project
    64→
    65→    Returns:
    66→        (passing_count, in_progress_count, total_count)
    67→    """
    68→    db_file = project_dir / "features.db"
    69→    if not db_file.exists():
    70→        return 0, 0, 0
    71→
    72→    try:
    73→        conn = sqlite3.connect(db_file)
    74→        cursor = conn.cursor()
    75→        cursor.execute("SELECT COUNT(*) FROM features")
    76→        total = cursor.fetchone()[0]
    77→        cursor.execute("SELECT COUNT(*) FROM features WHERE passes = 1")
    78→        passing = cursor.fetchone()[0]
    79→        # Handle case where in_progress column doesn't exist yet
    80→        try:
    81→            cursor.execute("SELECT COUNT(*) FROM features WHERE in_progress = 1")
    82→            in_progress = cursor.fetchone()[0]
    83→        except sqlite3.OperationalError:
    84→            in_progress = 0
    85→        conn.close()
    86→        return passing, in_progress, total
    87→    except Exception as e:
    88→        print(f"[Database error in count_passing_tests: {e}]")
    89→        return 0, 0, 0
    90→
    91→
    92→def get_all_passing_features(project_dir: Path) -> list[dict]:
    93→    """
    94→    Get all passing features for webhook notifications.
    95→
    96→    Args:
    97→        project_dir: Directory containing the project
    98→
    99→    Returns:
   100→        List of dicts with id, category, name for each passing feature
   101→    """
   102→    db_file = project_dir / "features.db"
   103→    if not db_file.exists():
   104→        return []
   105→
   106→    try:
   107→        conn = sqlite3.connect(db_file)
   108→        cursor = conn.cursor()
   109→        cursor.execute(
   110→            "SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC"
   111→        )
   112→        features = [
   113→            {"id": row[0], "category": row[1], "name": row[2]}
   114→            for row in cursor.fetchall()
   115→        ]
   116→        conn.close()
   117→        return features
   118→    except Exception:
   119→        return []
   120→
   121→
   122→def send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:
   123→    """Send webhook notification when progress increases."""
   124→    if not WEBHOOK_URL:
   125→        return  # Webhook not configured
   126→
   127→    cache_file = project_dir / PROGRESS_CACHE_FILE
   128→    previous = 0
   129→    previous_passing_ids = set()
   130→
   131→    # Read previous progress and passing feature IDs
   132→    if cache_file.exists():
   133→        try:
   134→            cache_data = json.loads(cache_file.read_text())
   135→            previous = cache_data.get("count", 0)
   136→            previous_passing_ids = set(cache_data.get("passing_ids", []))
   137→        except Exception:
   138→            previous = 0
   139→
   140→    # Only notify if progress increased
   141→    if passing > previous:
   142→        # Find which features are now passing via API
   143→        completed_tests = []
   144→        current_passing_ids = []
   145→
   146→        # Detect transition from old cache format (had count but no passing_ids)
   147→        # In this case, we can't reliably identify which specific tests are new
   148→        is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0
   149→
   150→        # Get all passing features via direct database access
   151→        all_passing = get_all_passing_features(project_dir)
   152→        for feature in all_passing:
   153→            feature_id = feature.get("id")
   154→            current_passing_ids.append(feature_id)
   155→            # Only identify individual new tests if we have previous IDs to compare
   156→            if not is_old_cache_format and feature_id not in previous_passing_ids:
   157→                # This feature is newly passing
   158→                name = feature.get("name", f"Feature #{feature_id}")
   159→                category = feature.get("category", "")
   160→                if category:
   161→                    completed_tests.append(f"{category} {name}")
   162→                else:
   163→                    completed_tests.append(name)
   164→
   165→        payload = {
   166→            "event": "test_progress",
   167→            "passing": passing,
   168→            "total": total,
   169→            "percentage": round((passing / total) * 100, 1) if total > 0 else 0,
   170→            "previous_passing": previous,
   171→            "tests_completed_this_session": passing - previous,
   172→            "completed_tests": completed_tests,
   173→            "project": project_dir.name,
   174→            "timestamp": datetime.utcnow().isoformat() + "Z",
   175→        }
   176→
   177→        try:
   178→            req = urllib.request.Request(
   179→                WEBHOOK_URL,
   180→                data=json.dumps([payload]).encode("utf-8"),  # n8n expects array
   181→                headers={"Content-Type": "application/json"},
   182→            )
   183→            urllib.request.urlopen(req, timeout=5)
   184→        except Exception as e:
   185→            print(f"[Webhook notification failed: {e}]")
   186→
   187→        # Update cache with count and passing IDs
   188→        cache_file.write_text(
   189→            json.dumps({"count": passing, "passing_ids": current_passing_ids})
   190→        )
   191→    else:
   192→        # Update cache even if no change (for initial state)
   193→        if not cache_file.exists():
   194→            all_passing = get_all_passing_features(project_dir)
   195→            current_passing_ids = [f.get("id") for f in all_passing]
   196→            cache_file.write_text(
   197→                json.dumps({"count": passing, "passing_ids": current_passing_ids})
   198→            )
   199→
   200→
   201→def print_session_header(session_num: int, is_initializer: bool) -> None:
   202→    """Print a formatted header for the session."""
   203→    session_type = "INITIALIZER" if is_initializer else "CODING AGENT"
   204→
   205→    print("\n" + "=" * 70)
   206→    print(f"  SESSION {session_num}: {session_type}")
   207→    print("=" * 70)
   208→    print()
   209→
   210→
   211→def print_progress_summary(project_dir: Path) -> None:
   212→    """Print a summary of current progress."""
   213→    passing, in_progress, total = count_passing_tests(project_dir)
   214→
   215→    if total > 0:
   216→        percentage = (passing / total) * 100
   217→        status_parts = [f"{passing}/{total} tests passing ({percentage:.1f}%)"]
   218→        if in_progress > 0:
   219→            status_parts.append(f"{in_progress} in progress")
   220→        print(f"\nProgress: {', '.join(status_parts)}")
   221→        send_progress_webhook(passing, total, project_dir)
   222→    else:
   223→        print("\nProgress: No features in database yet")
   224→
   225→
   226→def get_feature_stats(project_dir: Path) -> dict:
   227→    """
   228→    Get feature statistics from the database.
   229→
   230→    Args:
   231→        project_dir: Directory containing the project
   232→
   233→    Returns:
   234→        Dict with keys: pending, in_progress, completed, total
   235→    """
   236→    passing, in_progress, total = count_passing_tests(project_dir)
   237→    pending = max(0, total - passing - in_progress)
   238→
   239→    return {
   240→        "pending": pending,
   241→        "in_progress": in_progress,
   242→        "completed": passing,
   243→        "total": total,
   244→    }
   245→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"""
Progress Tracking Utilities
===========================

Functions for tracking and displaying progress of the autonomous coding agent.
Uses direct SQLite access for database queries.
"""

import json
import os
import sqlite3
import urllib.request
from datetime import datetime
from pathlib import Path

WEBHOOK_URL = os.environ.get("PROGRESS_N8N_WEBHOOK_URL")
PROGRESS_CACHE_FILE = ".progress_cache"

def has_features(project_dir: Path) -> bool:
    """
    Check if the project has features in the database.

    This is used to determine if the initializer agent needs to run.
    We check the database directly (not via API) since the API server
    may not be running yet when this check is performed.

    Returns True if:
    - features.db exists AND has at least 1 feature, OR
    - feature_list.json exists (legacy format)

    Returns False if no features exist (initializer needs to run).
    """
    import sqlite3

    # Check legacy JSON file first
    json_file = project_dir / "feature_list.json"
    if json_file.exists():
        return True

    # Check SQLite database
    db_file = project_dir / "features.db"
    if not db_file.exists():
        return False

    try:
        conn = sqlite3.connect(db_file)
        cursor = conn.cursor()
        cursor.execute("SELECT COUNT(*) FROM features")
        count = cursor.fetchone()[0]
        conn.close()
        return count > 0
    except Exception:
        # Database exists but can't be read or has no features table
        return False

def count_passing_tests(project_dir: Path) -> tuple[int, int, int]:
    """
    Count passing, in_progress, and total tests via direct database access.

    Args:
        project_dir: Directory containing the project

    Returns:
        (passing_count, in_progress_count, total_count)
    """
    db_file = project_dir / "features.db"
    if not db_file.exists():
        return 0, 0, 0

    try:
        conn = sqlite3.connect(db_file)
        cursor = conn.cursor()
        cursor.execute("SELECT COUNT(*) FROM features")
        total = cursor.fetchone()[0]
        cursor.execute("SELECT COUNT(*) FROM features WHERE passes = 1")
        passing = cursor.fetchone()[0]
        # Handle case where in_progress column doesn't exist yet
        try:
            cursor.execute("SELECT COUNT(*) FROM features WHERE in_progress = 1")
            in_progress = cursor.fetchone()[0]
        except sqlite3.OperationalError:
            in_progress = 0
        conn.close()
        return passing, in_progress, total
    except Exception as e:
        print(f"[Database error in count_passing_tests: {e}]")
        return 0, 0, 0

def get_all_passing_features(project_dir: Path) -> list[dict]:
    """
    Get all passing features for webhook notifications.

    Args:
        project_dir: Directory containing the project

    Returns:
        List of dicts with id, category, name for each passing feature
    """
    db_file = project_dir / "features.db"
    if not db_file.exists():
        return []

    try:
        conn = sqlite3.connect(db_file)
        cursor = conn.cursor()
        cursor.execute(
            "SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC"
        )
        features = [
            {"id": row[0], "category": row[1], "name": row[2]}
            for row in cursor.fetchall()
        ]
        conn.close()
        return features
    except Exception:
        return []

def send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:
    """Send webhook notification when progress increases."""
    if not WEBHOOK_URL:
        return  # Webhook not configured

    cache_file = project_dir / PROGRESS_CACHE_FILE
    previous = 0
    previous_passing_ids = set()

    # Read previous progress and passing feature IDs
    if cache_file.exists():
        try:
            cache_data = json.loads(cache_file.read_text())
            previous = cache_data.get("count", 0)
            previous_passing_ids = set(cache_data.get("passing_ids", []))
        except Exception:
            previous = 0

    # Only notify if progress increased
    if passing > previous:
        # Find which features are now passing via API
        completed_tests = []
        current_passing_ids = []

        # Detect transition from old cache format (had count but no passing_ids)
        # In this case, we can't reliably identify which specific tests are new
        is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0

        # Get all passing features via direct database access
        all_passing = get_all_passing_features(project_dir)
        for feature in all_passing:
            feature_id = feature.get("id")
            current_passing_ids.append(feature_id)
            # Only identify individual new tests if we have previous IDs to compare
            if not is_old_cache_format and feature_id not in previous_passing_ids:
                # This feature is newly passing
                name = feature.get("name", f"Feature #{feature_id}")
                category = feature.get("category", "")
                if category:
                    completed_tests.append(f"{category} {name}")
                else:
                    completed_tests.append(name)

        payload = {
            "event": "test_progress",
            "passing": passing,
            "total": total,
            "percentage": round((passing / total) * 100, 1) if total > 0 else 0,
            "previous_passing": previous,
            "tests_completed_this_session": passing - previous,
            "completed_tests": completed_tests,
            "project": project_dir.name,
            "timestamp": datetime.utcnow().isoformat() + "Z",
        }

        try:
            req = urllib.request.Request(
                WEBHOOK_URL,
                data=json.dumps([payload]).encode("utf-8"),  # n8n expects array
                headers={"Content-Type": "application/json"},
            )
            urllib.request.urlopen(req, timeout=5)
        except Exception as e:
            print(f"[Webhook notification failed: {e}]")

        # Update cache with count and passing IDs
        cache_file.write_text(
            json.dumps({"count": passing, "passing_ids": current_passing_ids})
        )
    else:
        # Update cache even if no change (for initial state)
        if not cache_file.exists():
            all_passing = get_all_passing_features(project_dir)
            current_passing_ids = [f.get("id") for f in all_passing]
            cache_file.write_text(
                json.dumps({"count": passing, "passing_ids": current_passing_ids})
            )

def print_session_header(session_num: int, is_initializer: bool) -> None:
    """Print a formatted header for the session."""
    session_type = "INITIALIZER" if is_initializer else "CODING AGENT"

    print("\n" + "=" * 70)
    print(f"  SESSION {session_num}: {session_type}")
    print("=" * 70)
    print()

def print_progress_summary(project_dir: Path) -> None:
    """Print a summary of current progress."""
    passing, in_progress, total = count_passing_tests(project_dir)

    if total > 0:
        percentage = (passing / total) * 100
        status_parts = [f"{passing}/{total} tests passing ({percentage:.1f}%)"]
        if in_progress > 0:
            status_parts.append(f"{in_progress} in progress")
        print(f"\nProgress: {', '.join(status_parts)}")
        send_progress_webhook(passing, total, project_dir)
    else:
        print("\nProgress: No features in database yet")

def get_feature_stats(project_dir: Path) -> dict:
    """
    Get feature statistics from the database.

    Args:
        project_dir: Directory containing the project

    Returns:
        Dict with keys: pending, in_progress, completed, total
    """
    passing, in_progress, total = count_passing_tests(project_dir)
    pending = max(0, total - passing - in_progress)

    return {
        "pending": pending,
        "in_progress": in_progress,
        "completed": passing,
        "total": total,
    }


Now I need to check where processes are being spawned in the system. Let me look for how bash commands are executed and where processes might be started.


Now let me check where processes are spawned and how bash commands are executed:


Found 8 files
Autocode-remix\Autocoder-2.0\server\services\process_manager.py
Autocode-remix\Autocoder-2.0\ARCHITECTURE.md
Autocode-remix\Autocoder-2.0\server\services\git_operations.py
Autocode-remix\Autocoder-2.0\server\services\resource_manager.py
Autocode-remix\Autocoder-2.0\start_ui.py
Autocode-remix\Autocoder-2.0\start.py
Autocode-remix\Autocoder-2.0\README.md
Autocode-remix\Autocoder-2.0\CLAUDE.md


Great! It looks like there's already a process_manager.py. Let me check what it does.


     1→"""
     2→Agent Process Manager
     3→=====================
     4→
     5→Manages the lifecycle of agent subprocesses per project.
     6→Provides start/stop/pause/resume functionality with cross-platform support.
     7→"""
     8→
     9→import asyncio
    10→import logging
    11→import re
    12→import subprocess
    13→import sys
    14→import threading
    15→from datetime import datetime
    16→from pathlib import Path
    17→from typing import Awaitable, Callable, Literal, Set
    18→
    19→import psutil
    20→
    21→logger = logging.getLogger(__name__)
    22→
    23→# Patterns for sensitive data that should be redacted from output
    24→SENSITIVE_PATTERNS = [
    25→    r'sk-[a-zA-Z0-9]{20,}',  # Anthropic API keys
    26→    r'ANTHROPIC_API_KEY=[^\s]+',
    27→    r'api[_-]?key[=:][^\s]+',
    28→    r'token[=:][^\s]+',
    29→    r'password[=:][^\s]+',
    30→    r'secret[=:][^\s]+',
    31→    r'ghp_[a-zA-Z0-9]{36,}',  # GitHub personal access tokens
    32→    r'gho_[a-zA-Z0-9]{36,}',  # GitHub OAuth tokens
    33→    r'ghs_[a-zA-Z0-9]{36,}',  # GitHub server tokens
    34→    r'ghr_[a-zA-Z0-9]{36,}',  # GitHub refresh tokens
    35→    r'aws[_-]?access[_-]?key[=:][^\s]+',  # AWS keys
    36→    r'aws[_-]?secret[=:][^\s]+',
    37→]
    38→
    39→
    40→def sanitize_output(line: str) -> str:
    41→    """Remove sensitive information from output lines."""
    42→    for pattern in SENSITIVE_PATTERNS:
    43→        line = re.sub(pattern, '[REDACTED]', line, flags=re.IGNORECASE)
    44→    return line
    45→
    46→
    47→class AgentProcessManager:
    48→    """
    49→    Manages agent subprocess lifecycle for a single project.
    50→
    51→    Provides start/stop/pause/resume with cross-platform support via psutil.
    52→    Supports multiple output callbacks for WebSocket clients.
    53→    """
    54→
    55→    def __init__(
    56→        self,
    57→        project_name: str,
    58→        project_dir: Path,
    59→        root_dir: Path,
    60→    ):
    61→        """
    62→        Initialize the process manager.
    63→
    64→        Args:
    65→            project_name: Name of the project
    66→            project_dir: Absolute path to the project directory
    67→            root_dir: Root directory of the autonomous-coding-ui project
    68→        """
    69→        self.project_name = project_name
    70→        self.project_dir = project_dir
    71→        self.root_dir = root_dir
    72→        self.process: subprocess.Popen | None = None
    73→        self._status: Literal["stopped", "running", "paused", "crashed"] = "stopped"
    74→        self.started_at: datetime | None = None
    75→        self._output_task: asyncio.Task | None = None
    76→        self.yolo_mode: bool = False  # YOLO mode for rapid prototyping
    77→
    78→        # Support multiple callbacks (for multiple WebSocket clients)
    79→        self._output_callbacks: Set[Callable[[str], Awaitable[None]]] = set()
    80→        self._status_callbacks: Set[Callable[[str], Awaitable[None]]] = set()
    81→        self._callbacks_lock = threading.Lock()
    82→
    83→        # Lock file to prevent multiple instances (stored in project directory)
    84→        self.lock_file = self.project_dir / ".agent.lock"
    85→
    86→    @property
    87→    def status(self) -> Literal["stopped", "running", "paused", "crashed"]:
    88→        return self._status
    89→
    90→    @status.setter
    91→    def status(self, value: Literal["stopped", "running", "paused", "crashed"]):
    92→        old_status = self._status
    93→        self._status = value
    94→        if old_status != value:
    95→            self._notify_status_change(value)
    96→
    97→    def _notify_status_change(self, status: str) -> None:
    98→        """Notify all registered callbacks of status change."""
    99→        with self._callbacks_lock:
   100→            callbacks = list(self._status_callbacks)
   101→
   102→        for callback in callbacks:
   103→            try:
   104→                # Schedule the callback in the event loop
   105→                loop = asyncio.get_running_loop()
   106→                loop.create_task(self._safe_callback(callback, status))
   107→            except RuntimeError:
   108→                # No running event loop
   109→                pass
   110→
   111→    async def _safe_callback(self, callback: Callable, *args) -> None:
   112→        """Safely execute a callback, catching and logging any errors."""
   113→        try:
   114→            await callback(*args)
   115→        except Exception as e:
   116→            logger.warning(f"Callback error: {e}")
   117→
   118→    def add_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
   119→        """Add a callback for output lines."""
   120→        with self._callbacks_lock:
   121→            self._output_callbacks.add(callback)
   122→
   123→    def remove_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
   124→        """Remove an output callback."""
   125→        with self._callbacks_lock:
   126→            self._output_callbacks.discard(callback)
   127→
   128→    def add_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
   129→        """Add a callback for status changes."""
   130→        with self._callbacks_lock:
   131→            self._status_callbacks.add(callback)
   132→
   133→    def remove_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
   134→        """Remove a status callback."""
   135→        with self._callbacks_lock:
   136→            self._status_callbacks.discard(callback)
   137→
   138→    @property
   139→    def pid(self) -> int | None:
   140→        return self.process.pid if self.process else None
   141→
   142→    def _check_lock(self) -> bool:
   143→        """Check if another agent is already running for this project."""
   144→        if not self.lock_file.exists():
   145→            return True
   146→
   147→        try:
   148→            pid = int(self.lock_file.read_text().strip())
   149→            if psutil.pid_exists(pid):
   150→                # Check if it's actually our agent process
   151→                try:
   152→                    proc = psutil.Process(pid)
   153→                    cmdline = " ".join(proc.cmdline())
   154→                    if "autonomous_agent_demo.py" in cmdline:
   155→                        return False  # Another agent is running
   156→                except (psutil.NoSuchProcess, psutil.AccessDenied):
   157→                    pass
   158→            # Stale lock file
   159→            self.lock_file.unlink(missing_ok=True)
   160→            return True
   161→        except (ValueError, OSError):
   162→            self.lock_file.unlink(missing_ok=True)
   163→            return True
   164→
   165→    def _create_lock(self) -> None:
   166→        """Create lock file with current process PID."""
   167→        self.lock_file.parent.mkdir(parents=True, exist_ok=True)
   168→        if self.process:
   169→            self.lock_file.write_text(str(self.process.pid))
   170→
   171→    def _remove_lock(self) -> None:
   172→        """Remove lock file."""
   173→        self.lock_file.unlink(missing_ok=True)
   174→
   175→    async def _broadcast_output(self, line: str) -> None:
   176→        """Broadcast output line to all registered callbacks."""
   177→        with self._callbacks_lock:
   178→            callbacks = list(self._output_callbacks)
   179→
   180→        for callback in callbacks:
   181→            await self._safe_callback(callback, line)
   182→
   183→    async def _stream_output(self) -> None:
   184→        """Stream process output to callbacks."""
   185→        if not self.process or not self.process.stdout:
   186→            return
   187→
   188→        try:
   189→            loop = asyncio.get_running_loop()
   190→            while True:
   191→                # Use run_in_executor for blocking readline
   192→                line = await loop.run_in_executor(
   193→                    None, self.process.stdout.readline
   194→                )
   195→                if not line:
   196→                    break
   197→
   198→                decoded = line.decode("utf-8", errors="replace").rstrip()
   199→                sanitized = sanitize_output(decoded)
   200→
   201→                await self._broadcast_output(sanitized)
   202→
   203→        except asyncio.CancelledError:
   204→            raise
   205→        except Exception as e:
   206→            logger.warning(f"Output streaming error: {e}")
   207→        finally:
   208→            # Check if process ended
   209→            if self.process and self.process.poll() is not None:
   210→                exit_code = self.process.returncode
   211→                if exit_code != 0 and self.status == "running":
   212→                    self.status = "crashed"
   213→                elif self.status == "running":
   214→                    self.status = "stopped"
   215→                self._remove_lock()
   216→
   217→    async def start(self, yolo_mode: bool = False) -> tuple[bool, str]:
   218→        """
   219→        Start the agent as a subprocess.
   220→
   221→        Args:
   222→            yolo_mode: If True, run in YOLO mode (no browser testing)
   223→
   224→        Returns:
   225→            Tuple of (success, message)
   226→        """
   227→        if self.status in ("running", "paused"):
   228→            return False, f"Agent is already {self.status}"
   229→
   230→        if not self._check_lock():
   231→            return False, "Another agent instance is already running for this project"
   232→
   233→        # Store YOLO mode for status queries
   234→        self.yolo_mode = yolo_mode
   235→
   236→        # Build command - pass absolute path to project directory
   237→        cmd = [
   238→            sys.executable,
   239→            str(self.root_dir / "autonomous_agent_demo.py"),
   240→            "--project-dir",
   241→            str(self.project_dir.resolve()),
   242→        ]
   243→
   244→        # Add --yolo flag if YOLO mode is enabled
   245→        if yolo_mode:
   246→            cmd.append("--yolo")
   247→
   248→        try:
   249→            # Start subprocess with piped stdout/stderr
   250→            # Use project_dir as cwd so Claude SDK sandbox allows access to project files
   251→            self.process = subprocess.Popen(
   252→                cmd,
   253→                stdout=subprocess.PIPE,
   254→                stderr=subprocess.STDOUT,
   255→                cwd=str(self.project_dir),
   256→            )
   257→
   258→            self._create_lock()
   259→            self.started_at = datetime.now()
   260→            self.status = "running"
   261→
   262→            # Start output streaming task
   263→            self._output_task = asyncio.create_task(self._stream_output())
   264→
   265→            return True, f"Agent started with PID {self.process.pid}"
   266→        except Exception as e:
   267→            logger.exception("Failed to start agent")
   268→            return False, f"Failed to start agent: {e}"
   269→
   270→    def _kill_process_tree(self, pid: int, timeout: float = 5.0) -> int:
   271→        """
   272→        Kill a process and all its children recursively.
   273→
   274→        Args:
   275→            pid: Process ID to kill
   276→            timeout: Seconds to wait for graceful termination
   277→
   278→        Returns:
   279→            Number of processes killed
   280→        """
   281→        killed_count = 0
   282→        try:
   283→            parent = psutil.Process(pid)
   284→            # Get all children recursively BEFORE killing parent
   285→            children = parent.children(recursive=True)
   286→
   287→            # Terminate parent first
   288→            parent.terminate()
   289→
   290→            # Terminate all children
   291→            for child in children:
   292→                try:
   293→                    child.terminate()
   294→                except psutil.NoSuchProcess:
   295→                    pass
   296→
   297→            # Wait for graceful shutdown
   298→            gone, alive = psutil.wait_procs([parent] + children, timeout=timeout)
   299→            killed_count = len(gone)
   300→
   301→            # Force kill any survivors
   302→            for proc in alive:
   303→                try:
   304→                    logger.warning(f"Force killing process {proc.pid}")
   305→                    proc.kill()
   306→                    killed_count += 1
   307→                except psutil.NoSuchProcess:
   308→                    pass
   309→
   310→        except psutil.NoSuchProcess:
   311→            pass  # Already dead
   312→        except Exception as e:
   313→            logger.warning(f"Error killing process tree: {e}")
   314→
   315→        return killed_count
   316→
   317→    async def stop(self) -> tuple[bool, str]:
   318→        """
   319→        Stop the agent and all child processes (MCP servers, etc).
   320→
   321→        Returns:
   322→            Tuple of (success, message)
   323→        """
   324→        if not self.process or self.status == "stopped":
   325→            return False, "Agent is not running"
   326→
   327→        try:
   328→            # Cancel output streaming
   329→            if self._output_task:
   330→                self._output_task.cancel()
   331→                try:
   332→                    await self._output_task
   333→                except asyncio.CancelledError:
   334→                    pass
   335→
   336→            # Kill entire process tree (agent + MCP servers + any children)
   337→            pid = self.process.pid
   338→            loop = asyncio.get_running_loop()
   339→            killed = await loop.run_in_executor(
   340→                None, self._kill_process_tree, pid, 5.0
   341→            )
   342→
   343→            logger.info(f"Killed {killed} processes in tree for {self.project_name}")
   344→
   345→            self._remove_lock()
   346→            self.status = "stopped"
   347→            self.process = None
   348→            self.started_at = None
   349→            self.yolo_mode = False  # Reset YOLO mode
   350→
   351→            return True, f"Agent stopped ({killed} processes terminated)"
   352→        except Exception as e:
   353→            logger.exception("Failed to stop agent")
   354→            return False, f"Failed to stop agent: {e}"
   355→
   356→    async def pause(self) -> tuple[bool, str]:
   357→        """
   358→        Pause the agent using psutil for cross-platform support.
   359→
   360→        Returns:
   361→            Tuple of (success, message)
   362→        """
   363→        if not self.process or self.status != "running":
   364→            return False, "Agent is not running"
   365→
   366→        try:
   367→            proc = psutil.Process(self.process.pid)
   368→            proc.suspend()
   369→            self.status = "paused"
   370→            return True, "Agent paused"
   371→        except psutil.NoSuchProcess:
   372→            self.status = "crashed"
   373→            self._remove_lock()
   374→            return False, "Agent process no longer exists"
   375→        except Exception as e:
   376→            logger.exception("Failed to pause agent")
   377→            return False, f"Failed to pause agent: {e}"
   378→
   379→    async def resume(self) -> tuple[bool, str]:
   380→        """
   381→        Resume a paused agent.
   382→
   383→        Returns:
   384→            Tuple of (success, message)
   385→        """
   386→        if not self.process or self.status != "paused":
   387→            return False, "Agent is not paused"
   388→
   389→        try:
   390→            proc = psutil.Process(self.process.pid)
   391→            proc.resume()
   392→            self.status = "running"
   393→            return True, "Agent resumed"
   394→        except psutil.NoSuchProcess:
   395→            self.status = "crashed"
   396→            self._remove_lock()
   397→            return False, "Agent process no longer exists"
   398→        except Exception as e:
   399→            logger.exception("Failed to resume agent")
   400→            return False, f"Failed to resume agent: {e}"
   401→
   402→    async def healthcheck(self) -> bool:
   403→        """
   404→        Check if the agent process is still alive.
   405→
   406→        Updates status to 'crashed' if process has died unexpectedly.
   407→
   408→        Returns:
   409→            True if healthy, False otherwise
   410→        """
   411→        if not self.process:
   412→            return self.status == "stopped"
   413→
   414→        poll = self.process.poll()
   415→        if poll is not None:
   416→            # Process has terminated
   417→            if self.status in ("running", "paused"):
   418→                self.status = "crashed"
   419→                self._remove_lock()
   420→            return False
   421→
   422→        return True
   423→
   424→    def get_status_dict(self) -> dict:
   425→        """Get current status as a dictionary."""
   426→        return {
   427→            "status": self.status,
   428→            "pid": self.pid,
   429→            "started_at": self.started_at.isoformat() if self.started_at else None,
   430→            "yolo_mode": self.yolo_mode,
   431→        }
   432→
   433→
   434→# Global registry of process managers per project with thread safety
   435→_managers: dict[str, AgentProcessManager] = {}
   436→_managers_lock = threading.Lock()
   437→
   438→
   439→def get_manager(project_name: str, project_dir: Path, root_dir: Path) -> AgentProcessManager:
   440→    """Get or create a process manager for a project (thread-safe).
   441→
   442→    Args:
   443→        project_name: Name of the project
   444→        project_dir: Absolute path to the project directory
   445→        root_dir: Root directory of the autonomous-coding-ui project
   446→    """
   447→    with _managers_lock:
   448→        if project_name not in _managers:
   449→            _managers[project_name] = AgentProcessManager(project_name, project_dir, root_dir)
   450→        return _managers[project_name]
   451→
   452→
   453→async def cleanup_all_managers() -> None:
   454→    """Stop all running agents. Called on server shutdown."""
   455→    with _managers_lock:
   456→        managers = list(_managers.values())
   457→
   458→    for manager in managers:
   459→        try:
   460→            if manager.status != "stopped":
   461→                await manager.stop()
   462→        except Exception as e:
   463→            logger.warning(f"Error stopping manager for {manager.project_name}: {e}")
   464→
   465→    with _managers_lock:
   466→        _managers.clear()
   467→
   468→
   469→def find_orphan_processes() -> list[dict]:
   470→    """
   471→    Find orphaned Autocoder-related processes.
   472→
   473→    Returns:
   474→        List of dicts with pid, name, cmdline, create_time
   475→    """
   476→    orphans = []
   477→    patterns = [
   478→        "autonomous_agent_demo.py",
   479→        "feature_mcp",
   480→        "@playwright/mcp",
   481→        "mcp_server",
   482→    ]
   483→
   484→    for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'create_time', 'ppid']):
   485→        try:
   486→            info = proc.info
   487→            cmdline = " ".join(info.get('cmdline') or [])
   488→
   489→            # Check if it matches our patterns
   490→            if any(p in cmdline for p in patterns):
   491→                # Check if parent is init/systemd (orphaned) or if parent doesn't exist
   492→                ppid = info.get('ppid', 0)
   493→                is_orphan = ppid in (0, 1) or not psutil.pid_exists(ppid)
   494→
   495→                # Also check if it's not tracked by any manager
   496→                with _managers_lock:
   497→                    tracked_pids = {m.pid for m in _managers.values() if m.pid}
   498→
   499→                if is_orphan or info['pid'] not in tracked_pids:
   500→                    orphans.append({
   501→                        'pid': info['pid'],
   502→                        'name': info['name'],
   503→                        'cmdline': cmdline[:200],  # Truncate for display
   504→                        'create_time': info['create_time'],
   505→                        'is_orphan': is_orphan,
   506→                    })
   507→        except (psutil.NoSuchProcess, psutil.AccessDenied):
   508→            continue
   509→
   510→    return orphans
   511→
   512→
   513→def kill_orphan_processes() -> dict:
   514→    """
   515→    Find and kill orphaned Autocoder-related processes.
   516→
   517→    Returns:
   518→        Dict with counts of found, killed, failed
   519→    """
   520→    orphans = find_orphan_processes()
   521→    results = {'found': len(orphans), 'killed': 0, 'failed': 0, 'details': []}
   522→
   523→    for orphan in orphans:
   524→        try:
   525→            proc = psutil.Process(orphan['pid'])
   526→            # Kill the process and its children
   527→            children = proc.children(recursive=True)
   528→            for child in children:
   529→                try:
   530→                    child.kill()
   531→                except psutil.NoSuchProcess:
   532→                    pass
   533→            proc.kill()
   534→            results['killed'] += 1
   535→            results['details'].append({
   536→                'pid': orphan['pid'],
   537→                'status': 'killed',
   538→                'cmdline': orphan['cmdline'][:100]
   539→            })
   540→            logger.info(f"Killed orphan process {orphan['pid']}: {orphan['cmdline'][:50]}")
   541→        except psutil.NoSuchProcess:
   542→            results['killed'] += 1  # Already dead, count as success
   543→        except Exception as e:
   544→            results['failed'] += 1
   545→            results['details'].append({
   546→                'pid': orphan['pid'],
   547→                'status': 'failed',
   548→                'error': str(e)
   549→            })
   550→            logger.warning(f"Failed to kill orphan {orphan['pid']}: {e}")
   551→
   552→    return results
   553→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"""
Agent Process Manager
=====================

Manages the lifecycle of agent subprocesses per project.
Provides start/stop/pause/resume functionality with cross-platform support.
"""

import asyncio
import logging
import re
import subprocess
import sys
import threading
from datetime import datetime
from pathlib import Path
from typing import Awaitable, Callable, Literal, Set

import psutil

logger = logging.getLogger(__name__)

# Patterns for sensitive data that should be redacted from output
SENSITIVE_PATTERNS = [
    r'sk-[a-zA-Z0-9]{20,}',  # Anthropic API keys
    r'ANTHROPIC_API_KEY=[^\s]+',
    r'api[_-]?key[=:][^\s]+',
    r'token[=:][^\s]+',
    r'password[=:][^\s]+',
    r'secret[=:][^\s]+',
    r'ghp_[a-zA-Z0-9]{36,}',  # GitHub personal access tokens
    r'gho_[a-zA-Z0-9]{36,}',  # GitHub OAuth tokens
    r'ghs_[a-zA-Z0-9]{36,}',  # GitHub server tokens
    r'ghr_[a-zA-Z0-9]{36,}',  # GitHub refresh tokens
    r'aws[_-]?access[_-]?key[=:][^\s]+',  # AWS keys
    r'aws[_-]?secret[=:][^\s]+',
]

def sanitize_output(line: str) -> str:
    """Remove sensitive information from output lines."""
    for pattern in SENSITIVE_PATTERNS:
        line = re.sub(pattern, '[REDACTED]', line, flags=re.IGNORECASE)
    return line

class AgentProcessManager:
    """
    Manages agent subprocess lifecycle for a single project.

    Provides start/stop/pause/resume with cross-platform support via psutil.
    Supports multiple output callbacks for WebSocket clients.
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        root_dir: Path,
    ):
        """
        Initialize the process manager.

        Args:
            project_name: Name of the project
            project_dir: Absolute path to the project directory
            root_dir: Root directory of the autonomous-coding-ui project
        """
        self.project_name = project_name
        self.project_dir = project_dir
        self.root_dir = root_dir
        self.process: subprocess.Popen | None = None
        self._status: Literal["stopped", "running", "paused", "crashed"] = "stopped"
        self.started_at: datetime | None = None
        self._output_task: asyncio.Task | None = None
        self.yolo_mode: bool = False  # YOLO mode for rapid prototyping

        # Support multiple callbacks (for multiple WebSocket clients)
        self._output_callbacks: Set[Callable[[str], Awaitable[None]]] = set()
        self._status_callbacks: Set[Callable[[str], Awaitable[None]]] = set()
        self._callbacks_lock = threading.Lock()

        # Lock file to prevent multiple instances (stored in project directory)
        self.lock_file = self.project_dir / ".agent.lock"

    @property
    def status(self) -> Literal["stopped", "running", "paused", "crashed"]:
        return self._status

    @status.setter
    def status(self, value: Literal["stopped", "running", "paused", "crashed"]):
        old_status = self._status
        self._status = value
        if old_status != value:
            self._notify_status_change(value)

    def _notify_status_change(self, status: str) -> None:
        """Notify all registered callbacks of status change."""
        with self._callbacks_lock:
            callbacks = list(self._status_callbacks)

        for callback in callbacks:
            try:
                # Schedule the callback in the event loop
                loop = asyncio.get_running_loop()
                loop.create_task(self._safe_callback(callback, status))
            except RuntimeError:
                # No running event loop
                pass

    async def _safe_callback(self, callback: Callable, *args) -> None:
        """Safely execute a callback, catching and logging any errors."""
        try:
            await callback(*args)
        except Exception as e:
            logger.warning(f"Callback error: {e}")

    def add_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
        """Add a callback for output lines."""
        with self._callbacks_lock:
            self._output_callbacks.add(callback)

    def remove_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
        """Remove an output callback."""
        with self._callbacks_lock:
            self._output_callbacks.discard(callback)

    def add_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
        """Add a callback for status changes."""
        with self._callbacks_lock:
            self._status_callbacks.add(callback)

    def remove_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:
        """Remove a status callback."""
        with self._callbacks_lock:
            self._status_callbacks.discard(callback)

    @property
    def pid(self) -> int | None:
        return self.process.pid if self.process else None

    def _check_lock(self) -> bool:
        """Check if another agent is already running for this project."""
        if not self.lock_file.exists():
            return True

        try:
            pid = int(self.lock_file.read_text().strip())
            if psutil.pid_exists(pid):
                # Check if it's actually our agent process
                try:
                    proc = psutil.Process(pid)
                    cmdline = " ".join(proc.cmdline())
                    if "autonomous_agent_demo.py" in cmdline:
                        return False  # Another agent is running
                except (psutil.NoSuchProcess, psutil.AccessDenied):
                    pass
            # Stale lock file
            self.lock_file.unlink(missing_ok=True)
            return True
        except (ValueError, OSError):
            self.lock_file.unlink(missing_ok=True)
            return True

    def _create_lock(self) -> None:
        """Create lock file with current process PID."""
        self.lock_file.parent.mkdir(parents=True, exist_ok=True)
        if self.process:
            self.lock_file.write_text(str(self.process.pid))

    def _remove_lock(self) -> None:
        """Remove lock file."""
        self.lock_file.unlink(missing_ok=True)

    async def _broadcast_output(self, line: str) -> None:
        """Broadcast output line to all registered callbacks."""
        with self._callbacks_lock:
            callbacks = list(self._output_callbacks)

        for callback in callbacks:
            await self._safe_callback(callback, line)

    async def _stream_output(self) -> None:
        """Stream process output to callbacks."""
        if not self.process or not self.process.stdout:
            return

        try:
            loop = asyncio.get_running_loop()
            while True:
                # Use run_in_executor for blocking readline
                line = await loop.run_in_executor(
                    None, self.process.stdout.readline
                )
                if not line:
                    break

                decoded = line.decode("utf-8", errors="replace").rstrip()
                sanitized = sanitize_output(decoded)

                await self._broadcast_output(sanitized)

        except asyncio.CancelledError:
            raise
        except Exception as e:
            logger.warning(f"Output streaming error: {e}")
        finally:
            # Check if process ended
            if self.process and self.process.poll() is not None:
                exit_code = self.process.returncode
                if exit_code != 0 and self.status == "running":
                    self.status = "crashed"
                elif self.status == "running":
                    self.status = "stopped"
                self._remove_lock()

    async def start(self, yolo_mode: bool = False) -> tuple[bool, str]:
        """
        Start the agent as a subprocess.

        Args:
            yolo_mode: If True, run in YOLO mode (no browser testing)

        Returns:
            Tuple of (success, message)
        """
        if self.status in ("running", "paused"):
            return False, f"Agent is already {self.status}"

        if not self._check_lock():
            return False, "Another agent instance is already running for this project"

        # Store YOLO mode for status queries
        self.yolo_mode = yolo_mode

        # Build command - pass absolute path to project directory
        cmd = [
            sys.executable,
            str(self.root_dir / "autonomous_agent_demo.py"),
            "--project-dir",
            str(self.project_dir.resolve()),
        ]

        # Add --yolo flag if YOLO mode is enabled
        if yolo_mode:
            cmd.append("--yolo")

        try:
            # Start subprocess with piped stdout/stderr
            # Use project_dir as cwd so Claude SDK sandbox allows access to project files
            self.process = subprocess.Popen(
                cmd,
                stdout=subprocess.PIPE,
                stderr=subprocess.STDOUT,
                cwd=str(self.project_dir),
            )

            self._create_lock()
            self.started_at = datetime.now()
            self.status = "running"

            # Start output streaming task
            self._output_task = asyncio.create_task(self._stream_output())

            return True, f"Agent started with PID {self.process.pid}"
        except Exception as e:
            logger.exception("Failed to start agent")
            return False, f"Failed to start agent: {e}"

    def _kill_process_tree(self, pid: int, timeout: float = 5.0) -> int:
        """
        Kill a process and all its children recursively.

        Args:
            pid: Process ID to kill
            timeout: Seconds to wait for graceful termination

        Returns:
            Number of processes killed
        """
        killed_count = 0
        try:
            parent = psutil.Process(pid)
            # Get all children recursively BEFORE killing parent
            children = parent.children(recursive=True)

            # Terminate parent first
            parent.terminate()

            # Terminate all children
            for child in children:
                try:
                    child.terminate()
                except psutil.NoSuchProcess:
                    pass

            # Wait for graceful shutdown
            gone, alive = psutil.wait_procs([parent] + children, timeout=timeout)
            killed_count = len(gone)

            # Force kill any survivors
            for proc in alive:
                try:
                    logger.warning(f"Force killing process {proc.pid}")
                    proc.kill()
                    killed_count += 1
                except psutil.NoSuchProcess:
                    pass

        except psutil.NoSuchProcess:
            pass  # Already dead
        except Exception as e:
            logger.warning(f"Error killing process tree: {e}")

        return killed_count

    async def stop(self) -> tuple[bool, str]:
        """
        Stop the agent and all child processes (MCP servers, etc).

        Returns:
            Tuple of (success, message)
        """
        if not self.process or self.status == "stopped":
            return False, "Agent is not running"

        try:
            # Cancel output streaming
            if self._output_task:
                self._output_task.cancel()
                try:
                    await self._output_task
                except asyncio.CancelledError:
                    pass

            # Kill entire process tree (agent + MCP servers + any children)
            pid = self.process.pid
            loop = asyncio.get_running_loop()
            killed = await loop.run_in_executor(
                None, self._kill_process_tree, pid, 5.0
            )

            logger.info(f"Killed {killed} processes in tree for {self.project_name}")

            self._remove_lock()
            self.status = "stopped"
            self.process = None
            self.started_at = None
            self.yolo_mode = False  # Reset YOLO mode

            return True, f"Agent stopped ({killed} processes terminated)"
        except Exception as e:
            logger.exception("Failed to stop agent")
            return False, f"Failed to stop agent: {e}"

    async def pause(self) -> tuple[bool, str]:
        """
        Pause the agent using psutil for cross-platform support.

        Returns:
            Tuple of (success, message)
        """
        if not self.process or self.status != "running":
            return False, "Agent is not running"

        try:
            proc = psutil.Process(self.process.pid)
            proc.suspend()
            self.status = "paused"
            return True, "Agent paused"
        except psutil.NoSuchProcess:
            self.status = "crashed"
            self._remove_lock()
            return False, "Agent process no longer exists"
        except Exception as e:
            logger.exception("Failed to pause agent")
            return False, f"Failed to pause agent: {e}"

    async def resume(self) -> tuple[bool, str]:
        """
        Resume a paused agent.

        Returns:
            Tuple of (success, message)
        """
        if not self.process or self.status != "paused":
            return False, "Agent is not paused"

        try:
            proc = psutil.Process(self.process.pid)
            proc.resume()
            self.status = "running"
            return True, "Agent resumed"
        except psutil.NoSuchProcess:
            self.status = "crashed"
            self._remove_lock()
            return False, "Agent process no longer exists"
        except Exception as e:
            logger.exception("Failed to resume agent")
            return False, f"Failed to resume agent: {e}"

    async def healthcheck(self) -> bool:
        """
        Check if the agent process is still alive.

        Updates status to 'crashed' if process has died unexpectedly.

        Returns:
            True if healthy, False otherwise
        """
        if not self.process:
            return self.status == "stopped"

        poll = self.process.poll()
        if poll is not None:
            # Process has terminated
            if self.status in ("running", "paused"):
                self.status = "crashed"
                self._remove_lock()
            return False

        return True

    def get_status_dict(self) -> dict:
        """Get current status as a dictionary."""
        return {
            "status": self.status,
            "pid": self.pid,
            "started_at": self.started_at.isoformat() if self.started_at else None,
            "yolo_mode": self.yolo_mode,
        }

# Global registry of process managers per project with thread safety
_managers: dict[str, AgentProcessManager] = {}
_managers_lock = threading.Lock()

def get_manager(project_name: str, project_dir: Path, root_dir: Path) -> AgentProcessManager:
    """Get or create a process manager for a project (thread-safe).

    Args:
        project_name: Name of the project
        project_dir: Absolute path to the project directory
        root_dir: Root directory of the autonomous-coding-ui project
    """
    with _managers_lock:
        if project_name not in _managers:
            _managers[project_name] = AgentProcessManager(project_name, project_dir, root_dir)
        return _managers[project_name]

async def cleanup_all_managers() -> None:
    """Stop all running agents. Called on server shutdown."""
    with _managers_lock:
        managers = list(_managers.values())

    for manager in managers:
        try:
            if manager.status != "stopped":
                await manager.stop()
        except Exception as e:
            logger.warning(f"Error stopping manager for {manager.project_name}: {e}")

    with _managers_lock:
        _managers.clear()

def find_orphan_processes() -> list[dict]:
    """
    Find orphaned Autocoder-related processes.

    Returns:
        List of dicts with pid, name, cmdline, create_time
    """
    orphans = []
    patterns = [
        "autonomous_agent_demo.py",
        "feature_mcp",
        "@playwright/mcp",
        "mcp_server",
    ]

    for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'create_time', 'ppid']):
        try:
            info = proc.info
            cmdline = " ".join(info.get('cmdline') or [])

            # Check if it matches our patterns
            if any(p in cmdline for p in patterns):
                # Check if parent is init/systemd (orphaned) or if parent doesn't exist
                ppid = info.get('ppid', 0)
                is_orphan = ppid in (0, 1) or not psutil.pid_exists(ppid)

                # Also check if it's not tracked by any manager
                with _managers_lock:
                    tracked_pids = {m.pid for m in _managers.values() if m.pid}

                if is_orphan or info['pid'] not in tracked_pids:
                    orphans.append({
                        'pid': info['pid'],
                        'name': info['name'],
                        'cmdline': cmdline[:200],  # Truncate for display
                        'create_time': info['create_time'],
                        'is_orphan': is_orphan,
                    })
        except (psutil.NoSuchProcess, psutil.AccessDenied):
            continue

    return orphans

def kill_orphan_processes() -> dict:
    """
    Find and kill orphaned Autocoder-related processes.

    Returns:
        Dict with counts of found, killed, failed
    """
    orphans = find_orphan_processes()
    results = {'found': len(orphans), 'killed': 0, 'failed': 0, 'details': []}

    for orphan in orphans:
        try:
            proc = psutil.Process(orphan['pid'])
            # Kill the process and its children
            children = proc.children(recursive=True)
            for child in children:
                try:
                    child.kill()
                except psutil.NoSuchProcess:
                    pass
            proc.kill()
            results['killed'] += 1
            results['details'].append({
                'pid': orphan['pid'],
                'status': 'killed',
                'cmdline': orphan['cmdline'][:100]
            })
            logger.info(f"Killed orphan process {orphan['pid']}: {orphan['cmdline'][:50]}")
        except psutil.NoSuchProcess:
            results['killed'] += 1  # Already dead, count as success
        except Exception as e:
            results['failed'] += 1
            results['details'].append({
                'pid': orphan['pid'],
                'status': 'failed',
                'error': str(e)
            })
            logger.warning(f"Failed to kill orphan {orphan['pid']}: {e}")

    return results


Great! So there's already a process_manager.py that:
1. Manages the agent subprocess itself
2. Has a `_kill_process_tree()` method that recursively kills child processes
3. Already tracks orphan processes with `find_orphan_processes()` and `kill_orphan_processes()`

But the user is asking about processes created **by the project being built** (like dev servers, databases, etc.), not the agent process itself. The agent creates projects that might start their own servers.

Looking at the prompt templates I read earlier, I can see that the agent is told to run `init.sh` which might start servers. But there's no tracking of those processes.

What we need is:
1. Track processes spawned via bash commands during the agent session
2. Before moving to next feature or ending session, clean them up
3. Maybe keep them if they're needed for the next task

This would be a new feature that extends the MCP bash tool or adds a process tracker specifically for project processes.

Let me check how bash commands are currently executed via the Claude Agent SDK.


Good news! There's already a `process_manager.py` with orphan detection, but it only tracks **the agent itself** and its MCP servers. What you're asking about is different - tracking processes **created by the project being built** (like dev servers, npm processes, etc.).

Let me check how the agent executes bash commands to see where we can add project process tracking:


     1→"""
     2→Claude SDK Client Configuration
     3→===============================
     4→
     5→Functions for creating and configuring the Claude Agent SDK client.
     6→"""
     7→
     8→import json
     9→import os
    10→import shutil
    11→import sys
    12→from pathlib import Path
    13→
    14→from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
    15→from claude_agent_sdk.types import HookMatcher
    16→
    17→from security import bash_security_hook
    18→
    19→# Feature MCP tools for feature/test management
    20→FEATURE_MCP_TOOLS = [
    21→    "mcp__features__feature_get_stats",
    22→    "mcp__features__feature_get_next",
    23→    "mcp__features__feature_get_for_regression",
    24→    "mcp__features__feature_mark_in_progress",
    25→    "mcp__features__feature_mark_passing",
    26→    "mcp__features__feature_skip",
    27→    "mcp__features__feature_create_bulk",
    28→]
    29→
    30→# Playwright MCP tools for browser automation
    31→PLAYWRIGHT_TOOLS = [
    32→    # Core navigation & screenshots
    33→    "mcp__playwright__browser_navigate",
    34→    "mcp__playwright__browser_navigate_back",
    35→    "mcp__playwright__browser_take_screenshot",
    36→    "mcp__playwright__browser_snapshot",
    37→
    38→    # Element interaction
    39→    "mcp__playwright__browser_click",
    40→    "mcp__playwright__browser_type",
    41→    "mcp__playwright__browser_fill_form",
    42→    "mcp__playwright__browser_select_option",
    43→    "mcp__playwright__browser_hover",
    44→    "mcp__playwright__browser_drag",
    45→    "mcp__playwright__browser_press_key",
    46→
    47→    # JavaScript & debugging
    48→    "mcp__playwright__browser_evaluate",
    49→    # "mcp__playwright__browser_run_code",  # REMOVED - causes Playwright MCP server crash
    50→    "mcp__playwright__browser_console_messages",
    51→    "mcp__playwright__browser_network_requests",
    52→
    53→    # Browser management
    54→    "mcp__playwright__browser_close",
    55→    "mcp__playwright__browser_resize",
    56→    "mcp__playwright__browser_tabs",
    57→    "mcp__playwright__browser_wait_for",
    58→    "mcp__playwright__browser_handle_dialog",
    59→    "mcp__playwright__browser_file_upload",
    60→    "mcp__playwright__browser_install",
    61→]
    62→
    63→# Built-in tools
    64→BUILTIN_TOOLS = [
    65→    "Read",
    66→    "Write",
    67→    "Edit",
    68→    "Glob",
    69→    "Grep",
    70→    "Bash",
    71→    "WebFetch",
    72→    "WebSearch",
    73→]
    74→
    75→
    76→def create_client(project_dir: Path, model: str, yolo_mode: bool = False):
    77→    """
    78→    Create a Claude Agent SDK client with multi-layered security.
    79→
    80→    Args:
    81→        project_dir: Directory for the project
    82→        model: Claude model to use
    83→        yolo_mode: If True, skip Playwright MCP server for rapid prototyping
    84→
    85→    Returns:
    86→        Configured ClaudeSDKClient (from claude_agent_sdk)
    87→
    88→    Security layers (defense in depth):
    89→    1. Sandbox - OS-level bash command isolation prevents filesystem escape
    90→    2. Permissions - File operations restricted to project_dir only
    91→    3. Security hooks - Bash commands validated against an allowlist
    92→       (see security.py for ALLOWED_COMMANDS)
    93→
    94→    Note: Authentication is handled by start.bat/start.sh before this runs.
    95→    The Claude SDK auto-detects credentials from ~/.claude/.credentials.json
    96→    """
    97→    # Build allowed tools list based on mode
    98→    # In YOLO mode, exclude Playwright tools for faster prototyping
    99→    allowed_tools = [*BUILTIN_TOOLS, *FEATURE_MCP_TOOLS]
   100→    if not yolo_mode:
   101→        allowed_tools.extend(PLAYWRIGHT_TOOLS)
   102→
   103→    # Build permissions list
   104→    permissions_list = [
   105→        # Allow all file operations within the project directory
   106→        "Read(./**)",
   107→        "Write(./**)",
   108→        "Edit(./**)",
   109→        "Glob(./**)",
   110→        "Grep(./**)",
   111→        # Bash permission granted here, but actual commands are validated
   112→        # by the bash_security_hook (see security.py for allowed commands)
   113→        "Bash(*)",
   114→        # Allow web tools for documentation lookup
   115→        "WebFetch",
   116→        "WebSearch",
   117→        # Allow Feature MCP tools for feature management
   118→        *FEATURE_MCP_TOOLS,
   119→    ]
   120→    if not yolo_mode:
   121→        # Allow Playwright MCP tools for browser automation (standard mode only)
   122→        permissions_list.extend(PLAYWRIGHT_TOOLS)
   123→
   124→    # Create comprehensive security settings
   125→    # Note: Using relative paths ("./**") restricts access to project directory
   126→    # since cwd is set to project_dir
   127→    security_settings = {
   128→        # Sandbox disabled for full system access (SSH, infrastructure, etc.)
   129→        "sandbox": {"enabled": False},
   130→        "permissions": {
   131→            "defaultMode": "acceptEdits",  # Auto-approve edits within allowed directories
   132→            "allow": permissions_list,
   133→        },
   134→    }
   135→
   136→    # Ensure project directory exists before creating settings file
   137→    project_dir.mkdir(parents=True, exist_ok=True)
   138→
   139→    # Write settings to a file in the project directory
   140→    settings_file = project_dir / ".claude_settings.json"
   141→    with open(settings_file, "w") as f:
   142→        json.dump(security_settings, f, indent=2)
   143→
   144→    print(f"Created security settings at {settings_file}")
   145→    print("   - Sandbox DISABLED (full system access enabled)")
   146→    print(f"   - Working directory: {project_dir.resolve()}")
   147→    print("   - Bash commands restricted to allowlist (see security.py)")
   148→    if yolo_mode:
   149→        print("   - MCP servers: features (database) - YOLO MODE (no Playwright)")
   150→    else:

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"""
Claude SDK Client Configuration
===============================

Functions for creating and configuring the Claude Agent SDK client.
"""

import json
import os
import shutil
import sys
from pathlib import Path

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
from claude_agent_sdk.types import HookMatcher

from security import bash_security_hook

# Feature MCP tools for feature/test management
FEATURE_MCP_TOOLS = [
    "mcp__features__feature_get_stats",
    "mcp__features__feature_get_next",
    "mcp__features__feature_get_for_regression",
    "mcp__features__feature_mark_in_progress",
    "mcp__features__feature_mark_passing",
    "mcp__features__feature_skip",
    "mcp__features__feature_create_bulk",
]

# Playwright MCP tools for browser automation
PLAYWRIGHT_TOOLS = [
    # Core navigation & screenshots
    "mcp__playwright__browser_navigate",
    "mcp__playwright__browser_navigate_back",
    "mcp__playwright__browser_take_screenshot",
    "mcp__playwright__browser_snapshot",

    # Element interaction
    "mcp__playwright__browser_click",
    "mcp__playwright__browser_type",
    "mcp__playwright__browser_fill_form",
    "mcp__playwright__browser_select_option",
    "mcp__playwright__browser_hover",
    "mcp__playwright__browser_drag",
    "mcp__playwright__browser_press_key",

    # JavaScript & debugging
    "mcp__playwright__browser_evaluate",
    # "mcp__playwright__browser_run_code",  # REMOVED - causes Playwright MCP server crash
    "mcp__playwright__browser_console_messages",
    "mcp__playwright__browser_network_requests",

    # Browser management
    "mcp__playwright__browser_close",
    "mcp__playwright__browser_resize",
    "mcp__playwright__browser_tabs",
    "mcp__playwright__browser_wait_for",
    "mcp__playwright__browser_handle_dialog",
    "mcp__playwright__browser_file_upload",
    "mcp__playwright__browser_install",
]

# Built-in tools
BUILTIN_TOOLS = [
    "Read",
    "Write",
    "Edit",
    "Glob",
    "Grep",
    "Bash",
    "WebFetch",
    "WebSearch",
]

def create_client(project_dir: Path, model: str, yolo_mode: bool = False):
    """
    Create a Claude Agent SDK client with multi-layered security.

    Args:
        project_dir: Directory for the project
        model: Claude model to use
        yolo_mode: If True, skip Playwright MCP server for rapid prototyping

    Returns:
        Configured ClaudeSDKClient (from claude_agent_sdk)

    Security layers (defense in depth):
    1. Sandbox - OS-level bash command isolation prevents filesystem escape
    2. Permissions - File operations restricted to project_dir only
    3. Security hooks - Bash commands validated against an allowlist
       (see security.py for ALLOWED_COMMANDS)

    Note: Authentication is handled by start.bat/start.sh before this runs.
    The Claude SDK auto-detects credentials from ~/.claude/.credentials.json
    """
    # Build allowed tools list based on mode
    # In YOLO mode, exclude Playwright tools for faster prototyping
    allowed_tools = [*BUILTIN_TOOLS, *FEATURE_MCP_TOOLS]
    if not yolo_mode:
        allowed_tools.extend(PLAYWRIGHT_TOOLS)

    # Build permissions list
    permissions_list = [
        # Allow all file operations within the project directory
        "Read(./**)",
        "Write(./**)",
        "Edit(./**)",
        "Glob(./**)",
        "Grep(./**)",
        # Bash permission granted here, but actual commands are validated
        # by the bash_security_hook (see security.py for allowed commands)
        "Bash(*)",
        # Allow web tools for documentation lookup
        "WebFetch",
        "WebSearch",
        # Allow Feature MCP tools for feature management
        *FEATURE_MCP_TOOLS,
    ]
    if not yolo_mode:
        # Allow Playwright MCP tools for browser automation (standard mode only)
        permissions_list.extend(PLAYWRIGHT_TOOLS)

    # Create comprehensive security settings
    # Note: Using relative paths ("./**") restricts access to project directory
    # since cwd is set to project_dir
    security_settings = {
        # Sandbox disabled for full system access (SSH, infrastructure, etc.)
        "sandbox": {"enabled": False},
        "permissions": {
            "defaultMode": "acceptEdits",  # Auto-approve edits within allowed directories
            "allow": permissions_list,
        },
    }

    # Ensure project directory exists before creating settings file
    project_dir.mkdir(parents=True, exist_ok=True)

    # Write settings to a file in the project directory
    settings_file = project_dir / ".claude_settings.json"
    with open(settings_file, "w") as f:
        json.dump(security_settings, f, indent=2)

    print(f"Created security settings at {settings_file}")
    print("   - Sandbox DISABLED (full system access enabled)")
    print(f"   - Working directory: {project_dir.resolve()}")
    print("   - Bash commands restricted to allowlist (see security.py)")
    if yolo_mode:
        print("   - MCP servers: features (database) - YOLO MODE (no Playwright)")
    else:


I see that the agent uses the Claude Agent SDK's built-in Bash tool, which is configured via security settings and hooks. The bash_security_hook validates commands.

To track processes created by the project, we'd need to:
1. Hook into bash command execution to track spawned processes
2. Store PIDs of processes that should persist (like dev servers)
3. Clean up before moving to next feature or ending session

Let me check the MCP feature server to see where we could add hooks for feature transitions.


Now let me check the MCP server to see where we can hook into feature transitions:


Let me read the feature MCP server to understand when features transition and where we could add process cleanup hooks.