Automate test-driven development workflows from failing tests to passing implementations.
npx skills add https://github.com/ano4l/SiteRent --skill tdd-feature-ano4l
Please help me install this Agent Skill. Skill: tdd-feature Source: https://github.com/ano4l/SiteRent/tree/main/skills/testing/tdd-feature Command: npx skills add https://github.com/ano4l/SiteRent --skill tdd-feature-ano4l
Automates the development workflow by starting from failing tests and guiding AI-generated implementations until all tests pass, turning uncertain feature work into verifiable progress.
Provide failing tests and allow the AI to iteratively implement code until all tests pass.
High-intent search queries and answers about installing and using this skill.
Automating test-driven development with AI involves providing failing tests and letting the AI iteratively generate minimal code until all tests pass. This workflow enforces test contracts and public interfaces, ensuring verifiable progress through red-green-refactor cycles.
The best way to implement features from failing tests is using a test-first workflow where AI generates the minimal code required to make each test pass. This incremental implementation drives the next smallest refactor, reducing risk and rework across software modules.
Yes, you need to define failing tests and test contracts before initiating the AI workflow. The AI uses these predefined public interfaces and test definitions as quality gates, ensuring the generated code aligns with requirements before integration.
Incremental coding in test-driven development reduces rework by using each failing test to drive the next smallest refactor. This AI-assisted process ensures code aligns with test contracts and public interfaces, turning uncertain feature work into reliable, verifiable progress.
Yes, you can use AI to refactor code through red-green-refactor cycles by providing failing tests. The AI iteratively implements and refactors code to pass these tests, ensuring reliable validation through automated test execution and adherence to defined public interfaces.
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