Testing Sensei
bykourtni
0Guides AI coding tools to adhere to language-agnostic unit testing principles.
About
Testing Sensei is an MCP (Model Context Protocol) stdio server designed to serve as an intelligent guide for AI coding tools, such as Gemini CLI or Claude Code. It enforces rigorous, language-agnostic unit testing principles, ensuring that AI-generated code adheres to best practices like test-driven development, clear documentation through tests, and the creation of small, deterministic, and declarative test cases. By integrating with MCP-compatible clients, it helps AI agents produce high-quality, maintainable, and well-tested software.
Key Features
- Analyzes code snippets for violations of unit testing standards via the `lint_code` tool
- 0 GitHub stars
- Provides core unit testing principles to guide LLMs through the `get_testing_principles` tool
- Exposes testing principles as an MCP resource for seamless integration with AI clients
Use Cases
- Integrating with MCP-compatible AI development environments to enhance code quality and testing discipline
- Guiding AI coding tools in generating high-quality, standardized unit tests
- Enforcing language-agnostic unit testing best practices for agentic code generation
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