PixelPilot — AI-Powered Visual Debugging Assistant

PixelPilot helps developers investigate visual and interface-related problems using screenshots, images, and technical debugging evidence.

Whether you’re examining a website layout, an application interface, a design mockup, or another visual issue, PixelPilot helps you investigate what might be wrong. Provide an image, describe the problem, and optionally include relevant console errors or HTML/CSS to give the AI more context.

Powered by Google’s Gemma 4 model through the Gemini API, PixelPilot analyzes the supplied evidence and suggests potential causes, focused debugging steps, and possible fixes.

How it works

• Upload: Provide a screenshot or supported image showing the issue you want to investigate.
• Add context: Describe the problem and optionally provide console errors or relevant HTML/CSS.
• Analyze: Gemma 4 examines the available visual and technical evidence to identify potential causes.
• Investigate: Review suggested debugging steps and possible corrections, then verify them in your actual environment.

Why PixelPilot?

Visual problems can be difficult to diagnose from appearance alone. A misaligned element, unexpected spacing, clipped text, or inconsistent interface may have several possible causes.

PixelPilot aims to make investigation more systematic by combining visual evidence with any technical context you provide, while distinguishing likely explanations from issues that still need verification.

Built for developers

PixelPilot combines a lightweight frontend built with HTML, CSS, and vanilla JavaScript with a Python FastAPI backend and Gemma 4 as its AI analysis engine.

The goal is simple: help developers move from “Something looks wrong” to a more focused debugging process.

PixelPilot is an AI-assisted diagnostic tool, not a guarantee of automatic bug detection or a replacement for testing fixes in the actual application.