validation

Automate linting and type checking by running `ruff` and `mypy` to enforce code style and type safety. This process catches bugs early and verifies code integrity before committing changes.

Determine test tiers by analyzing code changes to intelligently select unit, integration, or graph-API tests. This targeted test execution verifies critical paths like graph compilation and input parsing remain robust.

A structured code review checklist includes checking for logic errors, security vulnerabilities, performance issues, and adherence to project patterns. It provides guidance to manually verify code correctness before merging.

Yes, automated validation verifies critical paths like graph compilation and input parsing. It ensures these core functionalities remain robust by executing targeted test suites based on your specific code changes.

The best way to ensure code quality is running a full suite of automated validation checks. This executes linting, type checking, and targeted tests to confirm everything passes and provides a green light for merging.

Yes, you can use this validation process for the FitPal project. It executes automated validation, linting, type checking, and targeted test suites specifically designed to analyze FitPal code changes and verify critical paths.