Tdd Red Green Refactor
ListedAutomates test generation following TDD principles, creating red tests, green implementations, and refactoring for robust backend code.
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skillrecordings
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About this skill
What it does
This skill guides an AI agent through Test-Driven Development (TDD) using the Red-Green-Refactor cycle. It helps break down development into small, testable steps, ensuring code quality and maintainability. The process involves writing a failing test ("red"), then writing just enough code to pass that test ("green"), and finally improving the code's structure without changing its behavior ("refactor").
When to use it
- New feature development: Use when building new functionality, ensuring each step is tested and well-defined.
- Refactoring existing code: Apply to improve the design and readability of existing codebases while preserving functionality.
- Debugging complex issues: Isolate problems by writing tests that fail before fixing them, leading to more targeted solutions.
- Collaborative development: Facilitate a shared understanding of requirements and implementation through testable specifications.
Key capabilities
- Guides the agent through Red-Green-Refactor cycles.
- Focuses on iterative code development.
- Emphasizes writing tests before implementing functionality.
- Promotes clean, maintainable code.
Example prompts
- "Let's implement a function to calculate the area of a rectangle using TDD."
- "Refactor this existing function following the Red-Green-Refactor process."
- "Write a failing test for the login functionality and then guide me through writing the code to pass it."
Tips & gotchas
- Requires a basic understanding of unit testing concepts.
- The agent's effectiveness depends on clear, concise prompts outlining the desired functionality or refactoring goals.