Inspiration
Want to find a way to check code that's vulnerable using LLM while being effective, so we created the multi-agent system
What it does
Uses many nodes of agents to discuss whether pieces of code are vulnerable
How we built it
Using langchain, next.js, and fastAPI
Challenges we ran into
Trying to convert Latex into PDF and detecting languages
Accomplishments that we're proud of
Was able to get websockets to work from backend to frontend, real-time communication
What we learned
Learned how multi-agent systems works and its benefits over single-agent systems
What's next for CodeSentinel
Get PDF to work and be able to handle larger pieces of code and even repositories by learning chunks and data transformation
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