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PLAN.md — Dissect Project Roadmap

Project Overview

Dissect - AI Orchestration Visualization Engine

  • Visualize LangChain, CrewAI, AutoGen workflows
  • Parse traces, generate HTML/Mermaid/DOT visualizations
  • Critical path analysis and bottleneck detection

Roadmap Duration

Duration: 12 weeks (3 months) Start: 2026-03-03 End: 2026-05-26

Phase 1: Foundation (Weeks 1-3)

Week 1: Setup & Infrastructure

  • Configure CI/CD pipeline (GitHub Actions)
  • Set up pre-commit hooks (ruff, mypy)
  • Verify test coverage baseline
  • Create development environment docs

Week 2: Core Engine Enhancement

  • Improve trace parsing (OpenTelemetry, LangChain, CrewAI, AutoGen)
  • Add support for new trace formats
  • Enhance graph data structure

Week 3: Visualization Improvements

  • Improve HTML exporter (dark mode, animations)
  • Add new visualization templates
  • Fix rendering bugs

Phase 2: Features (Weeks 4-6)

Week 4: Diff & Compare

  • Enhance trace comparison (diff.py)
  • Add visual diff output
  • Implement "dissect diff" CLI command

Week 5: AI Insights

  • Improve explain.py module
  • Add pattern detection
  • Generate automated insights

Week 6: Performance & Optimization

  • Optimize parsing speed
  • Reduce memory usage
  • Add caching mechanisms

Phase 3: Polish (Weeks 7-9)

Week 7: Testing & Quality

  • Increase test coverage to 70%+
  • Add integration tests
  • Add UI tests

Week 8: Documentation

  • Complete API documentation
  • Create tutorial videos
  • Update README with examples

Week 9: Release Preparation

  • Prepare v1.0.0 release
  • Create release notes
  • Publish to PyPI

Phase 4: Growth (Weeks 10-12)

Week 10: Community Features

  • Add VS Code extension (future)
  • Set up Discord/community
  • Collect user feedback

Week 11: Advanced Features

  • Live trace streaming (dissect watch)
  • Cloud dashboard prototype

Week 12: Evaluation & Next Steps

  • Mom Test validation (5+ users)
  • Marketing metrics review
  • Plan next iteration

Anti-Goals (What NOT to Build)

  • Do NOT add runtime execution of AI agents
  • Do NOT build cloud infrastructure yet
  • Do NOT add authentication/authorization
  • Do NOT create mobile apps

Success Criteria

  1. All parsers working (OTLP, LangChain, CrewAI, AutoGen)
  2. Test coverage >= 70%
  3. All exporters functional (HTML, Mermaid, DOT, JSON)
  4. Critical path analysis accurate
  5. CLI commands documented
  6. 3+ user interviews completed (Mom Test)

MVP Scope

Minimum Viable Product:

  • Trace parsing for 4 frameworks
  • HTML/Mermaid/DOT export
  • Critical path analysis
  • Basic CLI interface