test-driven-development

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Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.

Testing & QA 80,578 stars 8690 forks Updated today MIT

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Skill Content

# Test-Driven Development ## Overview Write a failing test before writing the code that makes it pass. For bug fixes, reproduce the bug with a test before attempting a fix. Tests are proof — "seems right" is not done. A codebase with good tests is an AI agent's superpower; a codebase without tests is a liability. ## When to Use - Implementing any new logic or behavior - Fixing any bug (the Prove-It Pattern) - Modifying existing functionality - Adding edge case handling - Any change that could break existing behavior **When NOT to use:** Pure configuration changes, documentation updates, or static content changes that have no behavioral impact. **Related:** For browser-based changes, combine TDD with runtime verification using Chrome DevTools MCP — see the Browser Testing section below. ## Discover the Stack First The TDD cycle is universal; the commands are not. Before writing the first test, discover how *this* repository tests, and use its commands for every RED, GREEN, and verification step: - **Language and build system** — `package.json`, `pom.xml`/`build.gradle`, `pyproject.toml`, `go.mod`, `Cargo.toml`, `Gemfile`, a `Makefile` - **Checked-in wrappers** — prefer `./gradlew`, `./mvnw`, `make test`, or a repo script over globally installed tools - **Test framework and configuration** — and how it runs a single focused test vs the full suite - **Existing conventions** — where tests live, how files are named, what patterns neighboring tests follow - **Documented co...

Details

Author
addyosmani
Repository
addyosmani/agent-skills
Created
5 months ago
Last Updated
today
Language
JavaScript
License
MIT

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