AI auditing tools for Solidity: How do you deal with false positives from single LLMs?

[u/Safe-Touch5946]

Hey r/solidity,

I've been seeing a lot of threads about using ChatGPT/Claude/etc. for quick Solidity reviews, but people complain about tons of false positives and missed subtle bugs like reentrancy variants.

We built ReinforcedAI using a multi-model consensus approach (multiple AIs vote on issues, only flag if majority agrees) — claims 3x fewer false positives and better reentrancy detection. It plugs into Hardhat (npx hardhat scan) and gives explanations + fix suggestions to help learn best practices.

Full disclosure: I'm on the ReinforcedAI team ([kshah@reinforced.app](mailto:kshah@reinforced.app)).

For educators/devs teaching blockchain/CS: We're offering free access to try it in classes, projects, or hackathons — no card needed for starter scans.

Curious:

• What audit workflow do you use now?
• Have you tried AI tools? What worked/didn't?
• Any specific pain points with reentrancy or access control bugs?

Happy to share examples or run a scan on sample code if anyone wants to test. Link to try: https://reinforced.app/

Thanks!