deep-review

To conduct a thorough code review, apply parallel dimension audits to systematically examine your codebase for technical debt, duplication, and convention drift. This approach assesses project quality and consistency by evaluating conventions, build+test issues, and code complexity simultaneously.

A parallel dimension audit is a codebase analysis technique that evaluates multiple quality dimensions concurrently, such as conventions, build+test integrity, and tidiness. It identifies complex issues like technical debt and convention drift by applying focused, dimension-based reviews to ensure high-standard project consistency.

Yes, you can assess code complexity and duplication without external dependencies. The review process operates natively to perform detailed code examination, identifying convention drift and technical debt directly within your existing project environment.

The best way to audit build and test issues alongside conventions is using a multi-dimensional codebase analysis. By running parallel audits focused on both build+test integrity and coding conventions, you effectively identify convention drift and ensure overall project quality.

You need a deep codebase analysis when you must assess the current state of a complex project and ensure high-standard quality. It is specifically required to identify in-depth technical debt, duplication, and convention drift that standard reviews might miss.