Skip to content

INTEGRATION.md

Latest commit

 

History

History
126 lines (89 loc) · 4.04 KB

INTEGRATION.md

File metadata and controls

126 lines (89 loc) · 4.04 KB

Context Forge + Claude Code Hooks Integration

Executive Summary

This integration solves a critical problem in AI-assisted development: context loss during long development sessions. By leveraging Claude Code's new PreCompact and Stop hooks, we ensure that Context Forge projects maintain their context even after conversation compaction.

The Problem

When Claude Code's context window fills up (during multi-hour coding sessions), it performs "compaction" to continue. During this process:

  • Project-specific rules are forgotten
  • Current implementation stage is lost
  • PRP guidelines are no longer followed
  • Bug tracking history disappears

This forces developers to repeatedly remind Claude about the project context, breaking flow and reducing productivity.

The Solution

Our hook integration:

  1. Detects Context Forge Projects - Automatically identifies projects with CLAUDE.md, Docs/, and PRPs/
  2. Captures State Before Compaction - PreCompact hook records current stage and active tasks
  3. Enforces Context Refresh - Stop hook ensures Claude re-reads critical files after compaction
  4. Maintains Continuity - Preserves awareness of implementation progress and guidelines

Implementation Details

Hook Architecture

PreCompact Hook → Detects CF Project → Creates Marker → Prepares Instructions
                                                           ↓
Stop Hook → Checks Marker → Blocks Claude → Forces Context Refresh

Key Components

  1. precompact-context-refresh.py

    • Detects Context Forge projects
    • Extracts current implementation stage
    • Creates marker for Stop hook
    • Returns refresh instructions

  2. stop-context-refresh.py

    • Checks for compaction marker
    • Generates detailed refresh instructions
    • Blocks Claude until context is restored

  3. context-forge-utils.py

    • Analyzes project structure
    • Detects tech stack
    • Tracks implementation progress
    • Provides project summaries

Benefits for Multi-Hour Workflows

Before Integration

  • Context lost every ~2 hours
  • Manual reminders needed
  • Quality degrades over time
  • Progress tracking lost

After Integration

  • Context automatically maintained
  • No manual intervention needed
  • Consistent quality throughout
  • Progress seamlessly tracked

Real-World Impact

Consider a typical 8-hour development session:

Without Hooks: 3-4 compactions × 10 minutes to restore context = 30-40 minutes lost

With Hooks: Automatic recovery, 0 minutes lost, better compliance with project standards

Installation

# Quick install
./install-context-forge-hooks.sh

# Or manual setup
cp *.py ~/.claude/hooks/context-forge/
# Add hooks to ~/.claude/settings.json

Future Enhancements

  1. Smarter Stage Detection - ML-based analysis of current work
  2. Incremental Context - Only refresh changed sections
  3. Multi-Project Support - Handle multiple Context Forge projects
  4. Performance Metrics - Track context retention effectiveness
  5. Integration with Context Forge CLI - Automatic hook installation

Technical Considerations

Performance

  • PreCompact: <100ms overhead
  • Stop: <50ms overhead
  • No impact on normal operation

Compatibility

  • Works with all Context Forge project types
  • Python 3.6+ required
  • No external dependencies

Security

  • Runs with user permissions only
  • No network access
  • Logs to user directory only

Conclusion

This integration represents a significant advancement in AI-assisted development workflows. By solving the context loss problem, we enable developers to maintain flow state and productivity during extended coding sessions.

The combination of Context Forge's structured project scaffolding and Claude Code's hook system creates a powerful synergy that makes multi-hour AI-assisted development not just possible, but highly effective.

Next Steps

  1. Test with your Context Forge projects
  2. Report issues or suggestions
  3. Contribute improvements
  4. Share your success stories

Together, we're building the future of AI-assisted software development!