tech debt tool

ra_aid/__main__.py

@@ -1,5 +1,6 @@
 import sqlite3
 import argparse
+import glob
 import os
 import sys
 import shutil
@@ -11,7 +12,7 @@ from ra_aid.tools import (
     ask_expert, run_shell_command, run_programming_task,
     emit_research_notes, emit_plan, emit_related_files, emit_task,
     emit_expert_context, get_memory_value, emit_key_facts, delete_key_facts,
-    emit_key_snippets, delete_key_snippets,
+    emit_key_snippets, delete_key_snippets, note_tech_debt,
     request_implementation, read_file_tool, emit_research_subtask,
     fuzzy_find_project_files, ripgrep_search, list_directory_tree
 )
@@ -63,9 +64,9 @@ planning_memory = MemorySaver()
 implementation_memory = MemorySaver()
 
 # Define tool sets for each stage
-research_tools = [list_directory_tree, emit_research_subtask, run_shell_command, emit_expert_context, ask_expert, emit_research_notes, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, request_implementation, read_file_tool, fuzzy_find_project_files, ripgrep_search]
-planning_tools = [list_directory_tree, emit_expert_context, ask_expert, emit_plan, emit_task, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, read_file_tool, fuzzy_find_project_files, ripgrep_search]
-implementation_tools = [list_directory_tree, run_shell_command, emit_expert_context, ask_expert, run_programming_task, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, read_file_tool, fuzzy_find_project_files, ripgrep_search]
+research_tools = [list_directory_tree, emit_research_subtask, run_shell_command, emit_expert_context, ask_expert, emit_research_notes, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, note_tech_debt, request_implementation, read_file_tool, fuzzy_find_project_files, ripgrep_search]
+planning_tools = [list_directory_tree, emit_expert_context, ask_expert, emit_plan, emit_task, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, note_tech_debt, read_file_tool, fuzzy_find_project_files, ripgrep_search]
+implementation_tools = [list_directory_tree, run_shell_command, emit_expert_context, ask_expert, run_programming_task, emit_related_files, emit_key_facts, delete_key_facts, emit_key_snippets, delete_key_snippets, note_tech_debt, read_file_tool, fuzzy_find_project_files, ripgrep_search]
 
 # Create stage-specific agents with individual memory objects
 research_agent = create_react_agent(model, research_tools, checkpointer=research_memory)
@@ -236,6 +237,47 @@ def validate_environment():
             print(f"- {error}", file=sys.stderr)
         sys.exit(1)
 
+def review_tech_debt(model) -> None:
+    """Review any technical debt notes collected during execution."""
+    tech_debt_dir = '.ra-aid/tech-debt'
+    tech_debt_files = glob.glob(os.path.join(tech_debt_dir, '*.md'))
+
+    if not tech_debt_files:
+        return
+
+    print_stage_header("Technical Debt Review")
+    
+    # Read the contents of all tech debt notes
+    tech_debt_contents = []
+    for file_path in tech_debt_files:
+        with open(file_path, 'r') as file:
+            content = file.read()
+            tech_debt_contents.append(content)
+
+    # Analyze the tech debt notes
+    prompt = f"""Review the following technical debt notes collected during program execution:
+
+{chr(10).join(tech_debt_contents)}
+
+Please provide a brief, focused analysis:
+1. Group similar issues if any
+2. Highlight high-impact items
+3. Suggest a rough priority order
+Keep the response concise and actionable.
+"""
+    # Stream the analysis
+    while True:
+        try:
+            for chunk in model.stream(
+                {"messages": [HumanMessage(content=prompt)]},
+                {"configurable": {"thread_id": "tech-debt"}, "recursion_limit": 100}
+            ):
+                print_agent_output(chunk) 
+            break
+        except ChatAnthropic.InternalServerError as e:
+            print(f"Encountered Anthropic Internal Server Error: {e}. Retrying...")
+            continue
+
 def main():
     """Main entry point for the ra-aid command line tool."""
     try:
@@ -316,6 +358,7 @@ Be very thorough in your research and emit lots of snippets, key facts. If you t
                 related_files
             )
     except TaskCompletedException:
+        review_tech_debt(model)
         sys.exit(0)
 
 if __name__ == "__main__":

ra_aid/prompts.py

@@ -92,6 +92,18 @@ Thoroughness and Completeness
         Carefully report what you found, including all directories and files.
     Do not move on until you are certain you have a complete picture of the codebase structure.
 
+Technical Debt Detection:
+    While exploring the codebase, use note_tech_debt to record any technical issues you discover, such as:
+        - Inconsistencies in code organization or naming
+        - Apparent dead or duplicated code
+        - Out-of-date dependencies or documentation
+        - Anti-patterns or code smells
+        - Confusing or poorly documented sections
+    When calling note_tech_debt, include:
+        - Clear description of the issue
+        - Specific file location where the issue was found
+    Focus on observation only - do not suggest fixes
+
 Decision on Implementation
 
     After completing your factual enumeration and description, decide:
@@ -143,6 +155,15 @@ Guidelines:
           Therefore, use as few tasks as needed, but no fewer.
           Keep tasks organized as semantic divisions of the overall work, rather than a series of steps.
 
+    Technical Debt Management:
+        While analyzing implementation approaches, use note_tech_debt to record discovered issues:
+            - Architectural inconsistencies that need future attention 
+            - Technical limitations that may need addressing
+            - Dependencies that could cause future problems
+            - Potential scalability or maintenance concerns
+            - API design issues or inconsistencies
+        This helps maintain a record of technical concerns while staying focused on the current task.
+
     When planning the implementation:
         Break the overall work into sub-tasks that are as detailed as necessary, but no more.
         Each sub-task should be clear and unambiguous, and should fully describe what needs to be done, including:
@@ -221,6 +242,13 @@ Important Notes:
 - Use delete_key_facts to remove facts that become outdated, irrelevant, or duplicated.
 - Use emit_key_snippets to manage code sections before and after modifications in batches.
 - Regularly remove outdated snippets with delete_key_snippets.
+- While implementing, use note_tech_debt to record technical issues you encounter:
+    * Code organization problems requiring refactoring
+    * Areas needing better error handling or validation
+    * Performance concerns that should be addressed
+    * Security considerations for future hardening
+    * Testing gaps or coverage issues
+  Record these observations without deviating from your current task.
 
 Instructions:
 1. Review the provided base task, plan, and key facts.

ra_aid/tools/__init__.py

@@ -5,6 +5,7 @@ from .read_file import read_file_tool
 from .fuzzy_find import fuzzy_find_project_files
 from .list_directory import list_directory_tree
 from .ripgrep import ripgrep_search
+from .note_tech_debt import note_tech_debt
 from .memory import (
     emit_research_notes, emit_plan, emit_task, get_memory_value, emit_key_facts,
     request_implementation, skip_implementation, delete_key_facts, emit_research_subtask,
@@ -32,5 +33,6 @@ __all__ = [
     'skip_implementation',
     'emit_research_subtask',
     'fuzzy_find_project_files',
-    'ripgrep_search'
+    'ripgrep_search',
+    'note_tech_debt'
 ]

ra_aid/tools/note_tech_debt.py

@@ -0,0 +1,68 @@
+from pathlib import Path
+from typing import Dict, Optional
+import os
+import glob
+from langchain_core.tools import tool
+from rich.console import Console
+from rich.panel import Panel
+
+console = Console()
+
+@tool
+def note_tech_debt(
+    description: str,
+    location: Optional[str] = None
+) -> Dict[str, any]:
+    """Record a technical debt note for later review.
+    
+    Creates a markdown file in .ra-aid/tech-debt/ containing the technical debt note.
+    
+    Args:
+        description: Description of the technical debt issue
+        location: Optional file/location reference where the tech debt was found
+    
+    Returns:
+        Dict containing:
+            - success: Boolean indicating if note was saved
+            - note_path: Path to the created note file
+            - note_number: Sequential number of the note
+    """
+    # Ensure base directory exists
+    base_dir = Path('.ra-aid/tech-debt')
+    base_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Find next note number
+    existing_notes = glob.glob(str(base_dir / '*.md'))
+    next_num = 1
+    if existing_notes:
+        numbers = [int(Path(note).stem) for note in existing_notes]
+        next_num = max(numbers) + 1
+    
+    # Create note path
+    note_path = base_dir / f'{next_num}.md'
+    
+    # Format note content
+    content = [f'# Technical Debt Note {next_num}\n']
+    content.append('## Description\n')
+    content.append(f'{description}\n')
+    if location:
+        content.append('\n## Location\n')
+        content.append(f'{location}\n')
+    
+    # Write note file
+    note_path.write_text(''.join(content))
+    
+    # Display status panel
+    console.print(
+        Panel(
+            f"Created Tech Debt Note #{next_num} at {note_path}",
+            title="📝 Tech Debt Note",
+            border_style="bright_blue"
+        )
+    )
+    
+    return {
+        'success': True,
+        'note_path': str(note_path),
+        'note_number': next_num
+    }