Verification & Quality Assurance

Automate code quality checks in a CI/CD pipeline by running verification checks that score correctness, security, and performance, then trigger automatic rollback to the last-good state when checks fail.

Truth scoring quantifies code quality risks on a 0.0 to 1.0 scale across a repository. It evaluates code, agents, and tasks to provide measurable metrics for continuous quality control and automated verification.

Yes, you can monitor CI/CD quality metrics using real-time dashboards. The system tracks truth scores and verification results across projects, providing exportable metrics for continuous monitoring.

Automatic rollback integrates with production codebases requiring continuous quality control. When automated verification checks fail, it reverts the codebase to the last-good state to prevent deploying errors.

Identify and quantify security risks by applying automated verification checks across the repository. These checks score correctness, security, performance, and documentation to highlight quality risks.

CI/CD pipelines need automated verification checks to ensure continuous quality control. They quantify code risks using truth scores and automatically rollback failures, preventing bad deployments.