Show HN: Slnmap – Roslyn code graph linking React call sites to .NET endpoints (github.com)

Slnmap, an open-source tool, has emerged as a semantic mapping solution for .NET developers, offering a detailed, compiler-accurate representation of their project structure. By analyzing a Visual Studio solution (.sln), Slnmap creates a comprehensive map of all callers and implementations across multiple projects, enabling AI agents to provide precise answers when asked about code dependencies and potential breaks due to interface changes. This capability addresses the common challenge of 'hallucinated dependencies,' where AI tools struggle to locate references hidden across unvisited files and projects. The significance of Slnmap for the AI and machine learning community lies in its potential to enhance AI-driven code analysis and refactoring processes, reducing the risks associated with code alteration. It allows developers to utilize AI agents more effectively by integrating these agents with Slnmap's detailed architecture overview and dependency analysis features. With functionalities such as 'impact analysis,' 'find usages,' and 'list endpoints,' Slnmap empowers AI tools to operate with a deeper understanding of the codebase, fostering improved code quality and collaboration as well as streamlining the development process overall.