Can AI actually find the root cause of a bug, or does it just sound confident?

We built Pinaka to write root cause analyses automatically — read a Jira ticket, search the codebase, trace the failure, post the RCA as a comment. Before putting that in front of real teams, we needed an honest answer to one question: does it actually find the right bug, or does it just sound right? "Sound right" is the trap with every AI tool that explains why something broke. LLMs are extremely good at producing a plausible-sounding root cause. Plausible and correct are not the same thing, a...