Most AI tools help a developer debug faster. An AI debugging agent owns the whole loop: it takes a reported defect and drives it to a fixed, tested, reviewed pull request on its own, with a human approving at each checkpoint. On automatedev.ai, every defect becomes an observable debugging run.
Defect in, merged fix out
A reported bug is auto-triaged and kicks off an autonomous run: reproduce → fix in an isolated workspace → prove the fix with tests → review and security-check → deliver a pull request. Self-heal closes the loop when new bugs are reported.
How a debugging run works
1. Capture and triage
Reported bugs are auto-titled and triaged by priority, each one kicking off its own autonomous debugging run — so a defect report is the start of a fix, not a ticket that sits in a backlog.
2. Reproduce and fix
The agent works in an isolated workspace to reproduce the problem and implement the fix, so parallel debugging runs never collide and every change stays reviewable.
3. Prove it with tests
The platform exercises the application like a real user to confirm the bug is actually gone — not just that the code compiles.
4. Review, secure, deliver
The fix goes through the same autonomous review and security pass as any change, then arrives as a pull request ready to approve.
Self-healing: the loop closes
Debugging isn't a one-shot event. On automatedev.ai, reported bugs come back as fresh runs the platform fixes and re-ships — so the same machinery that builds features also keeps them working. Within a single run, the agent also self-repairs when its own tests fail, iterating until the change is proven.
Human in control
A live stream shows the agent's reasoning, tool calls and diffs; approve, always-approve, or reject any action, and stop the run at any time.
Any model, your keys
Debugging runs on the vendor-neutral provider factory — Claude Code by default, or bring your own engine and API key.
Self-hosted
Reproduce and fix bugs entirely inside your own walls — your code and stack traces never leave your network.
GitHub + Jira
Defects and fixes flow through the tools your team already uses.
Automated debugging is one of the core workflows of the agent platform, alongside feature development, review, and release — see the full idea-to-PR lifecycle.
Turn your next bug report into a merged fix.
Book a 30-minute demo and watch a reported defect become a reproduced, fixed, tested, reviewed pull request — with you approving at every gate.
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