SlopWatch
Verifies AI implementations against its claims to ensure accuracy and prevent discrepancies in code generation.
About
SlopWatch is a Model Context Protocol (MCP) server designed to bring accountability to AI-assisted development. It tackles the common issue of large language models (LLMs) claiming to have implemented features they haven't fully delivered. By tracking what an AI claims versus what it actually modifies in your codebase, SlopWatch provides real-time verification, ensuring the AI's output matches its promises. This tool seamlessly integrates with Cursor IDE and other MCP-compatible platforms, offering a streamlined workflow for developers and teams to improve code quality and build trust in AI pair programming.
Key Features
- Generates `.cursorrules` for automatic enforcement in Cursor IDE
- Ultra-minimal responses for non-verbose output
- Tracks AI accountability stats and accuracy over time
- Combined claim and verify tool for seamless workflow
- Real-time AI claim verification for code changes
- 1 GitHub stars
Use Cases
- Improving quality assurance by catching AI implementation gaps early
- Verifying AI code implementations during pair programming
- Enhancing code reviews by confirming AI claims