AI-Assisted Frontend Reviews Using Gemma 4

This is a submission for the Gemma 4 Challenge: Build with Gemma 4 PR Sentinel analyzes React and TypeScript snippets and generates structured engineering feedback focused on maintainability, accessibility, performance, and UI quality. PR Sentinel is an AI-assisted frontend PR reviewer focused on React and TypeScript engineering quality. Developers can paste frontend code snippets and receive structured engineering feedback across: The project was inspired by real frontend review pain points commonly seen in enterprise applications, especially issues related to stale closures, infinite re-renders, semantic accessibility structure, and reusable component design. Instead of producing generic AI summaries, PR Sentinel organizes feedback into categorized engineering review cards that resemble actual senior-level frontend review comments. Live demo uses a limited development API configuration and may occasionally be unavailable during evaluation periods. (https://github.com/naomirasamalla/Frontend-PR-Review-Assistant) The application allows developers to paste frontend snippets and receive categorized AI-generated engineering review feedback in real time. Key Features: AI-powered React/TypeScript review analysis Structured frontend engineering feedback Accessibility-focused review insights UI/UX and maintainability recommendations Real-time review rendering PR Sentinel uses Gemma 4 to analyze React and TypeScript frontend code snippets and generate structured PR-style engineering feedback. The project focuses on identifying practical frontend issues such as: Gemma 4 was selected because the project required fast reasoning over frontend engineering patterns while generating concise, developer-focused review output. The model is used to evaluate pasted code snippets and return structured recommendations similar to a lightweight frontend pull request review workflow. The application includes built-in diagnostic sandbox scenarios that simulate real frontend engineering issues commonly encountered in React applications.