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Meeba Brain
AI code debugging with evidence, not guesses
AI can give a plausible debugging answer without proving it. Meeba Brain traces your codebase and dependencies, then shows the evidence behind each conclusion — separating Verified, Inferred, and Unknown.
Hey Product Hunt 👋
We built Meeba Brain because of a problem we kept seeing with AI-assisted development:
AI can give you a debugging answer that sounds right without actually proving it from the code.
Meeba Brain takes a different approach. It traces the actual codebase and dependencies, then shows the evidence behind its conclusions — separating Verified, Inferred, and Unknown.
For this launch, I don't just want upvotes. I'd love developers to bring us a real debugging or code-understanding question and try it on a public GitHub repo.
If the answer is wrong, incomplete, or the evidence doesn't hold up, please tell me.
We're launching as part of the Google Cloud Run Hackathon, and I'm particularly interested in hearing from engineers working with production systems and AI coding agents.
Let's see if AI can actually prove why it thinks a bug exists.
About Meeba Brain on Product Hunt
“AI code debugging with evidence, not guesses”
Meeba Brain was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #66 on the daily leaderboard. AI can give a plausible debugging answer without proving it. Meeba Brain traces your codebase and dependencies, then shows the evidence behind each conclusion — separating Verified, Inferred, and Unknown.
On the analytics side, Meeba Brain competes within Software Engineering, Developer Tools, Artificial Intelligence and Google Cloud Run — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Meeba Brain performed against the three products that launched closest to it on the same day.
Who hunted Meeba Brain?
Meeba Brain was hunted by Meemo Prasad Banjare. 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.
Meemo Prasad Banjare