Opslane: Open-Source AI Agent That Watches Sessions and Auto-Fixes User Bugs

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Abhishek, a former Robinhood engineer, has launched Opslane, an open-source AI agent designed to identify and fix user-facing software bugs by combining error tracking with session recording. The tool addresses two common failure modes in traditional error trackers: alert fatigue from low-priority false positives, and missed issues that never trigger exceptions. Opslane ranks bugs by the number of affected users and scans session recordings for behavioral signals like rage clicks, dead clicks, and abandoned forms to surface hidden problems. It only submits a pull request when it can independently verify that a fix is valid, reducing noise for engineering teams. The project is self-hostable via Docker Compose and exposes an MCP server so developers can query user-facing issues directly from tools like Claude Code.

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