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Traditional code beautifiers merely format code, leaving Large Language Models (LLMs) to grapple with overwhelming, linear text files that quickly exceed their context windows. This innovative server transforms minified JavaScript into a searchable database, empowering LLMs to de-obfuscate and unbundle code into individual modules, visualize the application's architecture through structured summaries, navigate specific modules on-demand, and semantically search for patterns across vast unbundled codebases. It significantly enhances an LLM's ability to analyze complex web applications by providing targeted information rather than raw, unmanageable code.
