discover-patterns

Codebase pattern discovery identifies implicit architectural and implementation standards using parallel analysis. It classifies patterns across structure, error handling, and observability as established, emerging, or inconsistent to guide standardization without manual codebase traversal.

Code review conformance checking compares new code against discovered architectural patterns. It generates a patterns document with quantified consistency metrics and counter-example identification, giving reviewers a clear baseline to catch deviations from established conventions.

Architecture auditing applies to Go, TypeScript, and infrastructure code. It analyzes structure, layering, dependency injection, and transport layers to highlight areas where code deviates from common project conventions and contributes to technical debt.

Consistency quantification measures technical debt by classifying discovered implementation patterns as established, emerging, or inconsistent. It provides exemplar references and counter-examples to quantify deviations from implicit coding standards across the source codebase.

Automated pattern discovery works for large codebases using parallel codebase analysis. It eliminates manual codebase traversal by identifying implicit patterns and generating a structured document for engineering teams to reference during onboarding and reviews.