A developer has created Slnmap, a tool designed to improve AI agent understanding of .NET codebases. Slnmap uses the Roslyn compiler to build a semantic graph of a solution, storing it locally and making it accessible via MCP for AI agents. This approach aims to provide more accurate answers to queries about code changes, unlike AI agents that rely on file grepping and often miss crucial connections like interface calls. Slnmap also includes an interactive HTML export feature for visualizing code dependencies, which can be shared with teammates. AI
IMPACT Enhances AI agent accuracy in understanding complex codebases, potentially improving developer productivity.
RANK_REASON Developer-created tool for improving AI agent code analysis.
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