bmad-code-review

Automating an adversarial code review verifies your implementation against story acceptance criteria and dev notes. It performs in-depth checks on code quality and security vulnerabilities by executing a defined workflow to identify potential issues before merging.

An adversarial code review rigorously challenges your code to validate implementation against original requirements. It executes a configured workflow engine to process story files, architecture documents, and sprint tracking updates to ensure development workflow compliance.

Yes, an automated adversarial review performs a deep dive into code quality and security vulnerabilities. It integrates LSP diagnostics and architectural analysis to execute a comprehensive platform intelligence scan across your codebase.

Yes, you need to load a workflow engine and configuration to run this code validation. The process requires these components to process story files and architecture documents to verify implementation and update sprint tracking.

The best way to verify implementation is performing an adversarial code review. This method rigorously checks code against the original story acceptance criteria and development notes to identify potential issues before merging.

You need to run an adversarial code review when a developer completes a feature. It rigorously checks the code against the original requirements, architecture documents, and dev notes to ensure quality and security before merging.