Argo - LLM-native static vulnerability detection

Hey! 👋

My friend and I have spent the last 6 months researching and building Argo, an open-source project exploring AI-powered code auditing. Instead of relying solely on static rules, Argo uses LLMs to analyze repositories, understand their context, and generate reviewable security findings.

We're now moving into the validation phase by testing it on real-world GitHub repositories. Our goal is to complete the experimentation by the end of this year so we can use the results as part of our bachelor's thesis next year.

We'd really appreciate any feedback, ideas, or criticism, it all helps us improve. And if you find the project interesting, leaving a ⭐ on the repo would mean a lot!