Codebase archaeology for Beads. Mine your repo for actionable work items, output them as Beads-formatted issues, and give your AI agents instant situational awareness.
Stringer was built with agents, for agents. It offloads deterministic work like repository analysis to local CPUs, saving inference costs for more valuable creative tasks.
It also allows agents and humans to utilize agentic planning workflows on legacy codebases.
Copilot says:
AI-generated
Your codebase whisperer that digs up all the hidden tech debt your AI agents keep stumbling over — TODOs, vulnerable dependencies, bus-factor risks, and stale branches surfaced in one scan before anyone has to ask.
Key features:
- 🔍 Seven collectors cover TODOs, vulnerabilities, dependency health, bus-factor risk, and more
- 🛡️ Multi-ecosystem vulnerability scanning across npm, pip, Go, Rust, and friends
- 🤖 Optional LLM pass adds smart clustering and priority inference
- 📤 Output as Markdown, JSON, agent tasks, or Beads JSONL for your CI pipeline
This summary was generated by GitHub Copilot based on the project README.