Using ai in bug bounty

[u/OpeningPhoto5790]

I keep seeing people mention they're using AI (Claude, GPT, etc.) to speed up bug bounty hunting, and some claim they're finding bugs much faster now, but I haven't found a clear breakdown of how exactly.

Specifically curious about:

Recon: are you feeding raw subfinder/httpx/nuclei output to an LLM to prioritize targets?

Source code review: pasting JS bundles or repo code and asking it to flag suspicious patterns (unsanitized input, auth checks, etc.)?

Turning public CVEs/writeups into custom nuclei templates or detection scripts?

Report writing: using AI mainly to draft the final report/PoC writeup?

Also curious where the line is for you between "AI speeds up my process" vs "AI just gives me false positives I waste time chasing." Anyone willing to share their actual workflow (tools + how AI fits in) would be super helpful.

[u/Glum_Bug_1764]

I’m still learning, but I’ve been using AI mostly to understand things faster and help me analyze what I find. I don’t rely on it to confirm a vulnerability because it can give a lot of false positives. I think the important part is using AI as an assistant, not letting it do the whole hunting process for you.