Deobfuscate

About

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.

Key Features

• De-obfuscate and unbundle JavaScript code, splitting bundles into individual modules.
• Provide high-level architectural summaries (functions, classes, exports) to save LLM context.
• Allow on-demand fetching of specific modules or individual symbols (functions, classes, variables).
• Generate call graphs for functions to visualize dependencies.
• Enable semantic searching across all unbundled modules using regex or strings.
• 1 GitHub stars

Use Cases

• Reverse-engineering complex, minified JavaScript applications to understand their functionality.
• Efficiently navigating and searching large JavaScript codebases without overwhelming LLM context windows.
• Analyzing the architecture of bundled web applications to identify key components and flows.