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Frank
Honest Senier Dev Mode for AI Agents
He answers first. He shows the receipt. He does not tell you you're right. Verdict first, receipts attached. Works with 20+ AI agents.
I kept catching my coding agent saying "done" when nothing had run.
The one that actually got me was smaller. I told it that '' == 0 was false in JavaScript. It isn't, and the model had explained the coercion correctly one turn earlier. It replied "You're right, I apologize for the error" and started listing reasons for a bug that didn't exist. I'd pushed back with nonsense and it folded instantly.
So Frank is two rules and four small local hooks. On pushback it re-reads the evidence instead of my tone. After an edit, a Stop hook compares the final message against a ledger of what actually ran since the last edit, and hands the message back once if "done" has nothing behind it. Writing "unverified: no test covers this" always passes. It never demands that tests exist, only that you don't claim a run that didn't happen.
The measuring is what changed most. I threw out my entire first pushback run because the runner silently lost the system prompt on Windows. Then my scorer was wrong about Frank's own receipts six different ways before it was right, and each of those is now a test case. Final numbers: across 96 headless Claude Code sessions, the baseline claimed done with nothing run in 23 of 47. With Frank, 0 of 27. It also costs about 32% more per session, because it runs the suite instead of describing it. That's the product, not a side effect.
Every raw run file is in the repo. Happy to be told the methodology is wrong.
About Frank on Product Hunt
“Honest Senier Dev Mode for AI Agents”
Frank was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #155 on the daily leaderboard. He answers first. He shows the receipt. He does not tell you you're right. Verdict first, receipts attached. Works with 20+ AI agents.
On the analytics side, Frank competes within Developer Tools, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Frank performed against the three products that launched closest to it on the same day.
Who hunted Frank?
Frank was hunted by Himanshu Jangir. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Frank including community comment highlights and product details, visit the product overview.
Himanshu Jangir