incremental-implementation

Incremental implementation breaks large multi-file changes into thin slices, ensuring each batch compiles and passes tests before proceeding. This staged validation minimizes drift between slices and reduces the risk of late-stage failures during feature additions or refactors.

The best way to validate code batches is through strict build-and-test checks for every slice. Each batch must compile, run tests, and produce a clear, explainable change, ensuring deterministic validation before moving to the next implementation slice.

Yes, test-driven development is required per batch for incremental multi-file implementations. Following TDD ensures each slice produces a correct, testable change that compiles and passes tests before subsequent batches are implemented.

When framework behavior is uncertain during incremental development, apply source-driven decisions to verify expected outcomes. This ensures each implementation slice remains explainable and deterministic, preventing unpredictable framework behavior from breaking subsequent code batches.

Use incremental slicing when implementing features or refactoring modules across multiple files that require staged validation. It is ideal for scenarios where minimizing risk and ensuring each batch remains explainable through strict build and test checkpoints is critical.

Running tests and build checks between slices is required for incremental multi-file implementations. Bypassing these checkpoints removes deterministic validation and risks late-stage failures, defeating the purpose of staged, test-driven development.