AI dev startups are struggling with one problem and I solved it

All startups that are developing:<p>- AI engineers (Devin, Tusk, Sweep, Fume)<p>- AI code review automation (Corgea)<p>- Code comprehension and search (Greptile)<p>- AI Code generation (Cosine, Sourcegraph)<p>- AI Incident Response<p>- and any other tool that requires understanding code and references within a code<p>... are facing the same problem.<p>For any given codebase in any given language, they need to extract dependencies, references, and other information from the codebase. They need to have a graph representation of the codebase - to know how functions are called, how classes are used, and how variables are passed around.<p>It is simple for one or two languages but for 7+? It is a nightmare to solve. For each language, you need to parse, resolve dependencies, and extract information. There are startups that died because they could not add support for a new language fast enough.<p>By accident, I solved this problem in a way that is language-agnostic and can be used for any language. (or at least it is easy to add a new language)<p>I want to release it as an API. I am looking for a startup that is facing this problem and would like to use this API.<p>How the API might work:<p>1. You send a zip file with the codebase,<p>2. My system parses the codebase and extract all the information (functions, classes, variables, references, dependencies, etc) and build a graph representation of the codebase 3. I return the graph representation of the codebase for you to use<p>4. Zip file is deleted after processing<p>In the future, there might be a self-hosted version of the API that you can run on your own infrastructure.