About ErrLookup
Paste an error message into a search box and you get a decade of forum posts, half of them for other versions. ErrLookup starts from the other end: we read the source of popular open-source libraries, find every user-facing error they can raise, and document each one — what it means, what triggers it, the most likely fixes, and how to write code that avoids it.
Who it's for
| AI coding agents | An MCP server answers "what is this error" at runtime from a locally cached dataset — offline-capable, no API keys. |
| Answer engines | Every page has a JSON twin and the whole dataset is published as versioned static files described in llms.txt. |
| Humans | These pages — one per error, with the exact message text you just pasted into a search box. |
How records are made
A deterministic scanner extracts every error-raising site from a pinned commit of the repository. Language models then document each site — meaning, trigger scenarios, ordered solutions, defensive patterns — and a second, independent model pass verifies the assembled records. Every page cites the analyzed commit SHA and links the exact source line on GitHub.
Honest provenance: records are AI-assisted analysis, clearly labeled, pinned to the
commit we analyzed (2110 errors across 13 repos
as of dataset 2026-08-01T22:17:06.394Z). If something is wrong,
tell us — the fix ships
in the next dataset version.
Who builds it
ErrLookup is a project of Standard Beagle Studio, an Austin-based, woman-owned AI UX agency for bold product teams. We build AI-enhanced developer tooling and product experiences — ErrLookup is our answer to every debugging session that started with a cryptic stack trace.