OBSERVABILITY Signal 389
How we built an automated debugging workflow at Sentry
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Illustration only Photo by iSawRed on Unsplash
Sentry describes how it built an automated debugging workflow using Seer autofix and Claude routines to detect, fix, and route code issues automatically.
This is a concrete example of an observability vendor integrating LLM-driven automation directly into issue triage and remediation, reducing the manual effort engineers spend on routine debugging. If the approach works at Sentry's scale, it signals that AI-assisted fix routing is moving from experimental to production-grade.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Sentry combined its Seer autofix capability with Claude routines to create an end-to-end automated debugging pipeline.
The workflow handles detection, fixing, and routing of code issues without manual intervention.
Sentry is dogfooding this system on its own platform, which provides a real-world test of AI-assisted debugging at production scale.
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