tdd-rust

Testing RTK filters with a Red-Green-Refactor workflow involves writing a failing test first, implementing the smallest passing change in Rust, then refactoring. This approach structures new filter development to reduce regressions and ensure output stability.

The best way to verify RTK filter output stability is using insta snapshots to lock the output format, combined with token-savings checks to validate token reduction targets. This ensures practical efficiency and preserves output stability during transformations.

Using real fixtures for Rust command testing requires capturing actual command output rather than synthetic samples. This grounds your tests in real-world behavior, ensuring your RTK filters handle practical scenarios correctly and maintain reliable output transformations.

Yes, RTK filter development requires safe fallback behavior for malformed input. Implementing safe fallbacks ensures your Rust filters handle unexpected data gracefully without crashing, maintaining stability during real-world command processing and output transformations.

Yes, you can apply test-driven development to RTK bug fixes and new commands. The workflow involves writing failing tests that reproduce the bug or define the command, implementing minimal passing code, and verifying with snapshots and savings checks.

You need insta snapshots for Rust testing workflows when locking output format stability for RTK filters. Snapshots verify that output transformations remain consistent across changes, preventing regressions while you refactor implementation logic or add new features.