kb-tdd-workflow

Enforcing test-driven development in AI agents involves injecting domain logic that guides coding workflows through strict red-green-refactor cycles. This ensures agents adopt a test-first convention for robust code implementation.

The best way to structure test-first workflows is aligning test goals with implementation tasks to improve maintainability and traceability. This structured planning guides agents through design, implementation, and review tasks.

The red-green-refactor cycle applies to software-engineering agents by enforcing guided TDD discipline throughout development tasks. Agents write failing tests first, implement code to pass tests, then refactor while maintaining passing tests.

Test-driven development agents can use real dependencies instead of mocks. The workflow promotes right-level testing with real dependencies over over-mocking where feasible to ensure appropriate integration test coverage.

You need to apply TDD workflow discipline to agent coding tasks during planning, design, implementation, and review. It satisfies requirements for enforcing appropriate test levels and strict test-first conventions in software-engineering workflows.