ci-job-analysis

To analyze CI job failures, you provide failure signals, file paths, error messages, and stack traces to classify the issue type and map it to a repair workflow. The analysis estimates confidence, identifies root causes, and references a historical case base for similarity scoring to produce remediation guidance.

CI failures can be classified into test_failure, e2e_failure, build_failure, lint_failure, type_check_failure, dependency_failure, config_failure, and infrastructure_failure. The taxonomy covers diverse pipeline issues, distinguishing frontend, backend, and mixed tech stack environments to surface appropriate remediation.

Fixing e2e or test failures involves loading stack traces and error messages to apply a structured remediation workflow. The process identifies root causes, estimates confidence, and scores against a historical case base to generate precise, actionable repair guidance.

Debugging CI build and lint failures requires failure signals, relevant file paths, error messages, stack traces, and environment context. Providing these inputs allows the analysis framework to accurately classify the failure type and map it to the appropriate repair workflow.

Yes, historical case matching is used for CI failure analysis by scoring similarity against past cases. This framework helps prioritize fixes by estimating confidence and mapping the current failure to established repair workflows, improving remediation accuracy.

Cross-stack failure analysis recognizes tech stack environments to distinguish frontend, backend, and mixed issues. By evaluating failure signals and environment context, it maps complex cross-stack failures to appropriate repair workflows, ensuring precise remediation guidance.