Automate end-to-end feature development with a red-green-refactor TDD loop.
npx skills add https://github.com/az9713/engineer-skills-tutorial --skill tdd-az9713
Please help me install this Agent Skill. Skill: tdd Source: https://github.com/az9713/engineer-skills-tutorial/tree/main/skills/engineering/tdd Command: npx skills add https://github.com/az9713/engineer-skills-tutorial --skill tdd-az9713
Software projects often ship features with brittle behavior due to insufficient explicit validation, leading to regressions and wasted debugging time.
Identify a feature, write one failing test as a tracer bullet, implement the minimal code to pass, and iterate.
High-intent search queries and answers about installing and using this skill.
Use TDD to prevent regressions by starting with a failing test, writing minimal code to pass it, and refactoring safely. This enforces behavior verification through public interfaces, catching integration issues early before they waste debugging time.
The red-green-refactor loop for integration testing is a cycle where you write a failing test, implement minimal code to pass it, then improve the design. It verifies end-to-end behavior robustly against future refactors.
Write tests against public interfaces to survive refactoring without breaking. By enforcing small interfaces and dependency injection, tests validate behavior externally, allowing internal implementations to evolve safely.
Yes, you can validate a feature idea before full implementation by writing a single failing test as a tracer bullet. This incremental TDD approach verifies the end-to-end path quickly before committing to complete development.
Yes, disciplined TDD requires dependency injection for testable design. Enforcing small interfaces and injecting dependencies guards against brittle implementations and ensures components remain independently testable.
Avoid this TDD approach for software projects not requiring integration-style tests or incremental delivery. If a project lacks explicit validation needs or involves purely exploratory coding without stable interfaces, this strict discipline may add overhead.
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