Developer builds RAG framework with AI agents, finds 483 passing tests hid install failure

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A developer spent two months building Vestibule, an open-source Python framework designed to handle the production-layer challenges of RAG ingestion, including stable document IDs, error classification, and per-vertical governance. Most of the code was written by four AI agents collaborating through real GitHub pull requests, producing twelve components and 878 tests across three releases. Despite 483 tests passing, the framework turned out to be completely uninstallable due to a packaging conflict only discovered when the developer ran a real-world quickstart script after v0.2 shipped. The same manual test revealed a default model name that had never worked against the actual SDK and an import that crashed an entire package when an optional dependency was missing. The developer has since added a CI job that builds a clean virtual environment and runs a real install on every pull request, and documented all three bugs openly in the release notes.

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