code-review

Architecture compliance and design principles checks are automated by auditing codebases for SRP, naming conventions, and dependency injection usage, producing actionable findings with standardized IDs to guide remediation.

Type safety is enforced by verifying the absence of bare Any types and ensuring data transfer objects are used at external boundaries, integrated with static analysis tools like pyright to deliver actionable remediation steps.

Ruff and pytest results are integrated into the code review by aligning static-quality checks with architectural evaluations, verifying compliance with design principles and type-safety to produce standardized, actionable findings.

Single Responsibility Principle and separation of concerns are verified through a systematic evaluation of codebases during post-implementation reviews, preventing excessive coupling and scope creep by generating actionable findings with standardized IDs.

This code review process applies to post-implementation reviews across common project structures, evaluating directory structures, naming conventions, and dependency injection usage in line with coding skill references.