code-acceptance

Automated code acceptance verification runs unit, integration, and E2E tests against code changes to validate functional outcomes and UI aesthetics. Test-based verification confirms requirements are met through executable tests and visual evidence, preventing subjective code reviews from blocking valid implementations.

Test-based code verification executes automated tests to independently assess whether code changes meet acceptance criteria. It focuses solely on test pass or fail outcomes and visual UI evidence, ignoring implementation details. This approach integrates with CI/CD orchestration tools to validate functional requirements.

Verifying UI changes uses screenshot-based visual evidence to validate presentation and user experience. The code-acceptance process checks UI aesthetics through automated visual validation alongside functional tests, ensuring UI changes behave as expected before code is merged.

Yes, test-based code verification supports integration with orchestration tools like cc-claude-codex. Running independent test suites through these orchestration tools automates the validation of code changes against acceptance criteria, fitting into existing CI/CD workflows.

Test-based code acceptance works by focusing exclusively on whether executable tests pass or fail, ignoring code implementation details entirely. It performs independent assessment of functional outcomes and UI aesthetics, ensuring code meets requirements through automated test results rather than subjective review.

Relying solely on automated tests for code acceptance means verification is limited to executable test coverage and UI screenshot evidence. Code changes in untested paths or subjective aesthetic nuances not captured by automated assertions may not be fully validated by this approach.