codebase-review

A comprehensive codebase review identifies architectural risks by applying a breadth-first sampling approach to representative files across architecture, data, business logic, security, and tests, producing actionable insights and a prioritized remediation plan.

A codebase health assessment is a structured evaluation that scores your repository across 10 quality dimensions to identify risks and improvement opportunities. You need one following major updates to deliver a structured improvement roadmap.

To generate a codebase remediation plan, you provide a repository URL and the review process scores 10 dimensions of the codebase against a consistent rubric, delivering an actionable top-10 improvement plan with estimated effort and responsible owners.

Yes, an automated code review evaluates business logic and security by sampling representative files across these specific dimensions. It applies a consistent rubric to quantify quality scores and identify targeted improvement opportunities.

Yes, architecture risk analysis evaluates test coverage by sampling representative test files as part of its breadth-first approach. It scores the testing dimension against a consistent rubric to produce actionable insights for your remediation plan.

The best way to assess codebase quality after a major update is a phase-oriented review that orients, samples, and evaluates across architecture, data, business logic, security, and tests to produce quantified quality scores and a prioritized roadmap.