twiceshy

Once bitten, twice shy.

A self-hosted service that feeds hard-won engineering experience — issues, dead-ends, root causes, validated fixes — to LLM coding agents at decision time, so they stop repeating known mistakes on autopilot. Records are git-backed and provenance-aware; automatic retrieval applies a relevance floor so a weak match can return nothing.

Hosted alpha

The hosted instance runs at twiceshy.app — self-serve tokens, remote MCP endpoint https://api.twiceshy.app/. External contributions require a signed CLA before merge (ADR-0002).

Related MCP server: Lessons Learned MCP Server

How it works (the locked architecture)

• Source of truth: git-backed markdown experience records (YAML frontmatter

  • narrative) — format in docs/SCHEMA.md. The corpus is a separate versioned data product (twiceshy-corpus, ADR-0021); the engine ships a small frozen fixture (internal/testcorpus/) for tests.

• Index: one derived, always-rebuildable SQLite file (FTS5 plus cached, pure-Go dense vectors for pull retrieval).

• Retrieval: fingerprint-exact → BM25 → dense (RRF), stack-fingerprint filtered, hard cap k≤3 with a relevance floor — below it, nothing is injected.

• Channels: push (Claude Code hooks → trap cards), pull (MCP tools over streamable HTTP), index (generated one-liners).

• Trust: agent-proposed records are quarantined; promotion = sandbox fail-to-pass validation + human PR review. A new record IS a pull request.

• Doctors: background jobs that dedup, staleness-check, re-execute repros (CI for memories), decay, and abstract.

Full rationale: docs/research/EXPERIENCE_SERVICE_RESEARCH.md and docs/adr/ADR-0001-architecture.md.

Status

The core service is available as a hosted alpha. For the canonical snapshot of what ships now and the current roadmap, see docs/NEXT_FEATURES.md; deployment and operating details live in docs/DEPLOY-public-alpha.md.

Development

make ci    # lint + race tests + coverage floor — what CI runs

See docs/CONVENTIONS.md and docs/CONTEXT.md first.

License

AGPL-3.0-only. Contribution and corpus licensing: docs/adr/ADR-0002-licensing-strategy.md.