Pytest Debugger
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Tracks pytest failures and resolves errors faster using systematic debugging principles and integrates with Large Language Models.
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Pytest Debugger is a Model Context Protocol (MCP) server designed to streamline the debugging process for pytest failures. By adhering to the 9 principles of debugging, it helps developers systematically identify and resolve errors. The server provides tools for registering failures, tracking debug progress, analyzing similar failures, and generating targeted debugging prompts for LLMs, enabling efficient and AI-assisted debugging workflows.
Características Principales
- Registers pytest failures with detailed information.
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- Enables debugging using the 9 principles of debugging.
- Tracks debugging progress and history.
- Analyzes and groups similar failures for pattern identification.
- Generates targeted debugging prompts for Large Language Models (LLMs).
Casos de Uso
- Analyzing test failure patterns to improve code quality.
- Using LLMs like Claude to systematically debug test failures.
- Debugging pytest failures in CI/CD pipelines.
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