Features
Nine-stage AI code generation pipeline (change through integration)
Human approval gates at change, design, and review stages
Token compression for long session continuity
ChangeGraph dependency tracking
Multi-terminal support: Claude, Codex, Cursor, OpenCode
10 configurable workflow profiles (full, lite, nano)
TDD constraint (tests-first, red-green) in dev stage
Evidence-based review with executable verification per acceptance criterion
Project-level planning from README/PRD/PDF/URL
Auto mode full-stack skeleton generation
Built-in translation API service integration
Docker support for containerized workflows
Testing framework integration (Vitest)
Environment configuration via .env
Prompt management system with skills/agents framework
Role-based agent assignment (PM, architect, engineer, QA)
Structured output generation (requirements, design, code)
Data Interpreter for data analysis tasks
SELA module for self-evolving agents
Multi-agent collaboration and workflow orchestration
Meta-programming support for custom agent behaviors
Modular and extensible architecture
Built-in demo projects and case studies
MIT License fully open-source
Flow orchestration for complex agent pipelines
Integration with GitHub Actions and CI/CD
Community-driven with GitHub and Discord
