codebase-conformity

To enforce codebase conformity, read at least three existing sibling files to identify canonical patterns for naming, structure, and error handling before writing new code. Document these conventions, implement your change strictly following them, and perform a second verification pass against a different reference file.

New code breaks codebase patterns when developers skip surveying existing sibling files before writing. Prevent this by requiring a read-before-write discipline: analyze at least three sibling files to capture canonical naming, structure, and data flow conventions, then apply them strictly during implementation.

The best way to maintain pattern consistency across frontend and backend commits is to automate pattern conformity checks. Apply read-before-write discipline across routes, services, and utilities, documenting canonical patterns for error handling and data flow to ensure uniformity across all feature branches and PRs.

Yes, this codebase conformity approach works for both frontend and backend code reviews. It applies cross-domain to routes, services, utilities, styling, and error handling across commits and PRs, guiding reviews and CI checks non-intrusively without altering production code.

To verify naming and structure conventions before submitting a PR, implement your change strictly following the patterns identified from reading three sibling files, then perform a double verification by comparing your code against a second canonical reference file to confirm conformity.

Yes, you can use pattern conformity checks without altering production code. This approach provides non-intrusive enforcement that guides reviews and CI checks, ensuring teams observe existing conventions for naming, structure, and data flow without modifying the actual production codebase.