Where did the failure start?
It looks for the first useful signal in logs, assertions, stack traces, failing commands, and recent code changes.
CI / Test Fixer
AI CI failure analysis for broken tests.
CI / Test Fixer is the Builder Core AI test fixer for noisy failures. It reads available output, names the likely root cause, proposes the smallest fix path, and says what was actually verified.
What it answers
Questions this workflow is built to answer.
What is the likely cause?
It states a root-cause hypothesis with the evidence behind it, not a confident answer detached from the available output.
What should be tried first?
It recommends the smallest fix or diagnostic step that can move the failure from noisy to understood.
Good fit
Use it when broken checks are blocking shipping.
- A test failure has too much output and not enough signal.
- A CI job fails differently from local development.
- A quick fix could break nearby fixtures or edge cases.
- The team needs the next useful command, not a rewrite.
Use cases
Built for AI test failure analysis, not vague debugging advice.
Teams looking for AI CI failure analysis need a practical path through failing output: where the signal starts, what likely caused it, what to try first, and what still has not been verified.
AI test fixer
Turns failing assertions, stack traces, and logs into a focused next step.
Debugging CI failures
Separates environmental issues, recent code changes, and likely test assumptions.
Root-cause hypothesis
Names the evidence behind the likely cause and avoids claiming more than the output supports.
Limits
It keeps verification honest.
- No passing status is claimed unless the check was actually run.
- No hidden access to private logs or repositories exists from the public website.
- No production-readiness claim is made from a narrow test result.