shangyankeji/super-dev
Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
Orchestrates 9-stage development workflows (research → delivery) with domain-expert agents injected at each phase to enforce professional standards, while maintaining resumable checkpoints and audit trails for interrupted executions. Integrates with 20+ CLI/IDE hosts (Claude, Cursor, Windsurf, etc.) through unified skill/rule injection, generating structured artifacts (PRD, architecture, specs) and enforcing quality gates via accessibility checks, security reviews, and performance budgets before release.
148 stars. Available on PyPI.
Stars
148
Forks
37
Language
Python
License
MIT
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Dependencies
11
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