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[ARTICLE · art-11572] src=dev.to ↗ pub= topic=developer-tools verified=true sentiment=↑ positive

Stop Describing Your Bugs — Just Screenshot Them

BugLens is an AI-powered screenshot debugger built with Gemma 4 that allows developers to upload a screenshot of a bug or error message for instant analysis. The tool uses Gemma 4's multimodal capabilities via the Google AI Studio API to read the image, reason about the error, and return a structured diagnosis including error type, severity, root cause, and step-by-step fix. The application is designed to eliminate the need for developers to copy-paste stack traces or describe their screen to a chatbot.

read1 min views24 publishedMay 23, 2026

This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built BugLens is an AI-powered screenshot debugger for developers. You upload a screenshot of any bug, error message, or broken UI, and Gemma 4 instantly analyzes it and returns a structured diagnosis — including the error type, severity, root cause, affected area, a step-by-step fix, and prevention tips. No more copy-pasting stack traces or describing your screen to a chatbot. Just screenshot and drop it in. Code An AI-powered screenshot debugger built with Gemma 4. Upload a screenshot of any bug, error message, or broken UI — BugLens analyzes it and returns a structured diagnosis in seconds. Built for the Gemma 4 Challenge. Drop in any error screenshot and BugLens returns: BugLens sends your screenshot directly to Gemma 4 31B Dense (gemma-4-31b-it ) via the Google AI Studio API. The model reads the image, reasons about the error, and returns a structured analysis parsed into clean UI cards. index.html in your…How I Used Gemma 4 BugLens is powered by Gemma 4 31B Dense (gemma-4-31b-it) via the Google AI Studio API. I chose the 31B Dense model because visual debugging demands strong reasoning — the model needs to read error text in screenshots, understand code context, and produce actionable output all in one pass. Gemma 4's multimodal capability is the entire backbone of the app. Every analysis request sends the screenshot directly to the model as an inline image alongside a structured prompt, and the response is parsed into categorized cards in the UI. Without Gemma 4's vision and reasoning power, the app simply doesn't work — it's not a wrapper, it's the engine.

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