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Developer builds offline tool to help engineers understand AI-generated codebases

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A developer has created Heimdall, a local architecture visualization tool designed to help engineers maintain understanding of codebases increasingly built by AI coding agents. The tool converts a codebase into an interactive architecture map, showing files, modules, dependencies, and component relationships without requiring users to read every line of code. Unlike many code-analysis tools, Heimdall runs entirely offline and does not use any AI models, cloud services, or external servers, keeping source code private on the user's machine. The creator argues that as AI agents generate more code faster, developers risk losing their mental model of how a system is structured — a gap Heimdall aims to fill. The project reflects a broader concern that the bottleneck in software development may be shifting from writing code to understanding what has been built.

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