gait-incident-to-regression

Converting an incident into regression testing involves capturing the exact state and inputs of a failed AI agent run to create deterministic fixtures. These fixtures are then replayed to ensure the same unexpected issue does not recur in future changes.

Deterministic replay for incident triage works by taking a recorded Gait run identifier or runpack path and using it to initialize repeatable fixtures. This allows graders to consistently reproduce and analyze the exact failure conditions of an AI agent.

The best way to integrate AI agent failure analysis into CI/CD pipelines is by generating CI-friendly outputs like JUnit XML reports from regression tests. This allows existing CI infrastructure to automatically detect and flag recurring agent incidents.

Yes, you need the Gait CLI available in your environment to create regression workflows from incidents. The process also requires a valid run identifier or runpack path as input to properly initialize deterministic fixtures for replay.

You need to create deterministic fixtures for AI agents immediately after an unexpected issue or incident occurs. This captures the exact run artifacts required to build a repeatable regression suite that prevents future regressions from going unnoticed.