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Context+ MCP Server Claims 99% AI Coding Accuracy on Large Codebases by Building Structured Context
A new MCP server called Context+ gained traction on X (258 likes, 28K views) by claiming to give AI coding agents 99% accuracy on large-scale engineering projects. Rather than relying on model training data, Context+ builds structured context from the actual codebase so agents can accurately navigate and modify large repositories. The tool targets the core hallucination problem in AI-assisted development where agents generate plausible but incorrect code because they cannot fully read the project they are modifying.
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