adv-improve

To identify technical debt and architectural drift, analyze repository state to discover evidence-backed improvement opportunities across security, reliability, and architectural domains. This process generates structured research packs and deviation reports validated against industry standards.

Generate a research pack for a legacy module by running systematic structured scans across security, reliability, testing, and observability categories. This surfaces high-impact findings and compares local implementation against official documentation to detect drift.

Evidence-backed engineering improvement discovery is the process of analyzing repository state to find security vulnerabilities and architectural drift without relying on subjective opinion or manual audits. It validates findings against external documentation and local conventions.

Yes, you can scope code quality analysis to specific files, directories, or symbols. This targeted approach ensures the structured scans and deviation reports focus precisely on the defined components within your repository.

Detect security vulnerabilities without manual audits by analyzing repository state to identify evidence-backed improvement opportunities. This approach systematically scans security categories and compares local implementation against official documentation to identify gaps.