AI ate your easy; can review brain-fry be subdued with CI/CD?

Описание и применение

Автоматизация проверки кода, генерируемого ИИ, с помощью покрытия тестами, мутационного тестирования, оценки CRAP, статического анализа и автоматического рефакторинга снижает усталость ревьюеров и упрощает PR‑обзоры.

Задача

AI-generated code in PRs causes review fatigue and quality issues, requiring manual checks that drain developer bandwidth.

Результат

PRs became smaller, clearer, and easier to review; developers reported reduced fatigue and faster turnaround.

Рабочий процесс

• 1. Configure PHPUnit to generate coverage reports. 2. Run Infection for mutation testing using coverage data. 3. Compute CRAP scores from coverage and cyclomatic complexity. 4. Apply static analysis rules to detect conventions and vulnerabilities. 5. Execute automated refactoring rules on legacy or new code. 6. Publish all reports as CI artifacts for PR authors and reviewers. 7. Reviewers focus on high‑risk areas highlighted by metrics, reducing manual effort.

Доказательства

We shopped around and landed on the following for this experiment: Test coverage reports, Mutation testing, C.R.A.P. scoring, Static analysis, Automated refactoring.

Источник

It took a bored developer’s weekend and an afternoon of the team’s time to get all this work into our pipeline.

Источник

We already had our tests running across multiple test runner jobs, splitting them by runtime to even out their finishing times to approximately the same time.

Источник