Test Driven Development

What it does

This skill enables AI agents to generate code using a strict test-driven development (TDD) workflow. It ensures that unit tests are written and executed before any production logic is implemented, guaranteeing immediate validation of functionality.

When to use it

• You need to build reliable microservices where failing fast on incorrect logic is critical.
• You want to enforce a clean architecture by requiring test coverage prior to feature implementation.
• You are refactoring existing codebases and need automated safety nets before making changes.
• You require a standardized development cycle that minimizes regression bugs during sprints.

Key capabilities

• Automatically generates unit tests before writing the corresponding application code.
• Executes test suites immediately after code generation to verify success or failure.
• Iteratively refines implementation details based on passing or failing test results.
• Maintains a high standard of code quality through continuous verification loops.

Example prompts

• "Create a Python function to validate email addresses using TDD principles."
• "Write a Rust module for parsing JSON logs, ensuring all edge cases are tested first."
• "Develop a Node.js API endpoint for user authentication following the test-driven approach."

Tips & gotchas

• Ensure your AI agent has access to a terminal or code execution environment to run the generated tests.
• This workflow may increase initial generation time as the agent must write and verify tests before completing the feature.