Launching today

Meeba Brain

Name: Meeba Brain
Rating: 5.0 (2 reviews)

Launching today

AI code debugging with evidence, not guesses

5.0•2 reviews•

8 followers

AI code debugging with evidence, not guesses

5.0•2 reviews•

8 followers

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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.

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Launch tags:Software Engineering•Developer Tools•Artificial Intelligence

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Google Cloud Run

Google Cloud Run Hackathon

How did you use Cloud Run for this launch?

Maker

Meeba Brain is deployed on Google Cloud Run, which hosts our backend APIs and supports our AI-powered code debugging and reasoning workflows. Cloud Run allows us to deploy and operate our application without managing servers, while scaling compute resources with demand. For this launch, we use Cloud Run to make Meeba Brain accessible to developers who want to investigate real code issues, analyze debugging evidence, and explore evidence-grounded AI assistance. We chose this managed infrastructure to move quickly as an early-stage startup while keeping deployment and operations manageable.

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11h ago

Maker

📌

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.

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4d ago

Forum Threads

p/meeba-brain

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3d ago

Can we trust AI to debug code without making things up?

AI coding tools are getting better at writing code. But when a bug appears, how do we know whether the AI s explanation is actually correct?

A debugging assistant can sound convincing and still point developers in the wrong direction. That s why I m interested in a different approach: evidence-first debugging.

With Meeba Brain, we re working on helping developers:

Investigate bugs using actual code and repository evidence.
Understand relationships between files, functions, and components through a code knowledge graph.
Separate verified facts from inferences and unknowns.
Explore potential fixes without pretending every hypothesis is a confirmed diagnosis.

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