llm-migration

Migrate LLM apps between models safely — then benchmark old vs. new to prove the upgrade. Agent skill for behavior-preserving migrations + a runnable eval harness (three-arm leaderboard, prompt sweeps). Works in Claude Code, Codex & Cursor.

Open-source LLM migration and regression testing for AI agents. Compare models, detect tool-call regressions, and gate model changes in CI.

Plan, research, and evaluate LLM application migrations between models, providers, and platforms (Claude, GPT, Bedrock) before changing code

A beginner-friendly, hands-on learning path for AI backend development, covering the fundamentals of TypeScript and backend architecture, PostgreSQL and database design, Drizzle ORM and migrations, embeddings and vector databases with pgvector, vector similarity search, RAG pipelines, and the core concepts needed to build AI-powered backend systems

Open-source capture SDK for AI agents — records model and tool calls to build golden suites for LLM migration and regression testing.

GitHub Action for LLM migration and regression testing — runs your golden suite on every PR and fails the check on model regressions.