How I Triaged 8,400 Production Errors Into 11 Real Bugs With Claude Code
TL;DR My error tracker had 8,400 events a week across ~340 distinct issues, and nobody on the team actually triaged them. I built a small pipeline that feeds structured error data plus repo context into Claude Code and forces it to return a verdict per issue — and it surfaced 11 genuine bugs that had been hiding under the noise for months. Here's the setup, the prompt structure, and the five…
The source material details a story about how the author automated the process of triaging production errors using Claude Code, a large language model. The story is structured around the author's problem with managing a large volume of error events, the solution they implemented, and the lessons they learned along the way.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
