code-review

Automated code review on a pull request evaluates the diff against security, correctness, design, and performance principles. It assesses change impact with risk levels to guide testing efforts and highlight issues before merging.

Principle-based static analysis evaluates code changes against established best practices to ensure maintainable, secure, and efficient codebases. It checks multiple aspects like security, readability, and testing to reduce bugs.

Yes, you can configure code quality checks using YAML frontmatter. This allows you to tailor the evaluation of security, correctness, and performance principles for your specific software engineering workflow.

Yes, this code review approach provides automated risk analysis. It assesses the impact of code changes by assigning risk levels, which guides testing efforts and ensures adherence to standards before merging.

The best way to ensure codebase security and maintainability is using a principle-driven code review workflow. It integrates static analysis and best practices to evaluate diffs, identify vulnerabilities, and enforce standards.