Case Study: Bolt reduces mean time to detect by 99% with Sentry

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Preview of the Bolt Case Study

Bolt cuts mean time to detect by 99% with Sentry

Bolt, a tool launched by Stackblitz for building applications with natural language, faced scaling observability challenges after rapid user growth. Their existing tooling lacked first-class support for their modern Remix and Cloudflare Workers stack, leading to difficult bug triage. They turned to Sentry for its error monitoring and AI SDK integrations.

Sentry provided the needed runtime visibility and AI workload instrumentation, allowing Bolt to drastically reduce incident detection times. Using Sentry's Seer AI debugger for initial error triage, the team achieved a 99% reduction in mean time to detect, cutting it from days to hours, and caught costly token consumption discrepancies directly impacting their finances.


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