Automate red-green-refactor TDD cycles for Bun-based TypeScript projects.
npx skills add https://github.com/grant-vine/wunderkind --skill tdd-grant-vine
Please help me install this Agent Skill. Skill: tdd Source: https://github.com/grant-vine/wunderkind/tree/main/skills/tdd Command: npx skills add https://github.com/grant-vine/wunderkind --skill tdd-grant-vine
Automates test-driven development cycles for Wunderkind TypeScript code, ensuring changes are validated with observable behavior and regression coverage.
Initiate a TDD cycle by selecting a changed module and instructing Wunderkind to start a red-green-refactor loop with its unit tests.
High-intent search queries and answers about installing and using this skill.
You can automate test-driven development in a Bun TypeScript project by applying red-green-refactor loops to drive feature changes with failing tests first. This workflow ensures changes are validated with observable behavior and regression coverage.
The best way to add regression test coverage for touched TypeScript code is by scaffolding targeted unit tests within colocated test files. This verifies public behavior and prevents regressions in external APIs during refactoring.
Yes, you need strict TypeScript flags enabled to run unit tests with Bun using this workflow. The test-driven development process aligns specifically with TypeScript strict-mode and the Bun test runner to ensure reproducible results.
Red-green-refactor testing for vertical slices works by writing a failing unit test for a public interface, implementing the minimum code to pass it, then refactoring. This emphasizes public-behavior verification over internal implementation details.
Yes, you can repair existing features using test-driven development with Bun by initiating a red-green-refactor loop on a changed module. This applies regression coverage and public-behavior testing to ensure the repair is validated.
Testing public behavior instead of internal implementation details in unit tests prevents regressions in external APIs. This approach ensures reproducible results by focusing on observable behavior rather than brittle internal state assertions.
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