code-review

Automated code review evaluates a git diff by comparing changes against documented coding standards and project specifications, analyzing code quality, architectural smells, and requirement fulfillment for pull requests and feature branches. It uses parallel sub-agent orchestration to aggregate findings into a comprehensive side-by-side report.

Dual-axis code review is a structured analysis that separates coding standards compliance from functional specification compliance. It simultaneously evaluates code against documented standards and project specifications using parallel sub-agents, ensuring complex feature branches adhere to team style guides and faithfully implement requirements.

Yes, static analysis can detect architectural smells in a feature branch by applying a baseline of Fowler-inspired code smells. This heuristic smell detection identifies design issues and architectural problems even when project documentation is sparse, aggregating findings into a comprehensive side-by-side report.

Automated parallel code review works without extensive project documentation by applying heuristic smell detection. It uses a baseline of Fowler-inspired code smells to identify design issues and architectural problems even when documentation is sparse, ensuring software quality analysis remains effective.

The best way to verify a pull request meets style guides and requirements is using a two-axis analysis. This approach evaluates code against documented coding standards and project specifications simultaneously via parallel sub-agent orchestration, aggregating findings into a comprehensive side-by-side report for accurate verification.