Jam is an AI debugging assistant that captures bugs in a single shareable link, analyzes your code, and suggests fixes to speed up debugging.

Jam is an AI debugging assistant that helps developers fix bugs faster. It analyzes your code to identify issues and suggests fixes, with automatic source code analysis, personalized bug-fix suggestions, and team collaboration tools built in.
Bug reporting is simplified: Jam gathers everything needed to diagnose an issue — bug descriptions, browser and operating system details, console logs, network logs, user actions, and GitHub repositories — into a single shareable link. This cuts down on investigation and follow-up time. Its AI model improves over time, producing better fix suggestions as it learns.
Jam can also review your existing codebases and suggest query changes for your specific data. Your codebase stays private and secure during debugging, and Jam fits into your existing bug reporting setup without disruption.
Overall, Jam is a practical tool for developers and QA teams to track, diagnose, and fix bugs across the software development lifecycle.
Jam was created by Matthew Haber. It supports quick bug reporting, often with visual recordings, and includes automatic browser log capture plus integrations with tools like Sentry and Jira. Users have praised it for saving time on bug reporting and improving team communication and collaboration.
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