codebase-analysis

Codebase analysis uncovers structure and behavior by gathering evidence from code, documentation, and tests to map layers, components, and dependencies without guessing. Follow a scoped investigation workflow to produce a structured report with supporting facts.

Pattern extraction identifies recurring design approaches, coding conventions, and problematic patterns across a codebase. Analysis reveals what's working consistently and where anti-patterns create maintenance or performance risks.

Architecture mapping traces how components connect and organize into layers by examining code structure, imports, and module relationships. Evidence-based investigation produces a dependency graph and architectural boundaries.

Yes. Codebase analysis applies to security and performance research by gathering facts from code paths, data flows, and resource usage patterns to identify vulnerabilities and optimization opportunities with supporting evidence.

Evidence-based analysis grounds conclusions in actual code, tests, and documentation rather than assumptions. It provides traceability and calibrated confidence, enabling reliable architecture decisions backed by concrete findings.