From Errors to Verified Fixes

The AI debugger that proves its fix with a failing test, a verified patch, and a separate AI review—or honestly says “no code change needed.” Proof, not patches.

Watch demo View example scenarios

EVIDENCE AT EVERY STEP

How TracePilot AI Works

A verification-first AI agent for real-world software debugging.

1. InvestigateAnalyze logs, inspect code, and test hypotheses against real evidence.
2. ReproduceGenerate a test that fails on the original code and captures the incident.
3. FixCreate a targeted patch in an isolated copy of the project.
4. VerifyRun the tests and get an independent AI review of the proposed fix.
5. Hand-offReview the patch, test evidence, PR description, and detailed report.

Built for Real Engineering Work

Works on your code

Python with pytest and Java with Maven. Start with a project, a public repository, or the CLI.

Knows when to stop

Identifies external causes such as expired credentials and recommends an operational fix.

Independent review

A second model checks the evidence and patch to catch superficial fixes.

Secure sandbox

Investigations run on a sandboxed copy, with existing tests kept read-only.

Real investigations to replay

Watch each step, or compare TracePilot with a plain agent on the same model.

Explore scenarios See the comparison

Help & docs