Case Study: Exa keeps AI agent search reliable with Sentry

Exa keeps AI agent search reliable for 400K developers with Sentry

Exa, a company that builds a search API for AI agents, faced the challenge of maintaining high reliability for its core infrastructure while deploying new code every few minutes. To manage errors across its fast-paced, global engineering team, it turned to Sentry for error monitoring.

The solution implemented by Sentry provided automatic error tracking and integrated directly with Exa's workflow through Slack alerts. Most significantly, Sentry’s MCP server routes error context to Exa’s coding agents, which autonomously open pull requests to fix bugs. This has enabled Exa to drastically reduce the duration that bugs are active and move towards a system of automated debugging with less manual intervention.

Exa