GituU vs Lumen Playground

In an era of rapid AI development, transparency and authenticity in coding are more important than ever. GituU is a powerful developer tool designed to detect AI-generated code patterns within any GitHub repository using state-of-the-art on-device Machine Learning. Whether you are a recruiter verifying a candidate's project, a student learning code structure, or a developer auditing your own work, GituU provides deep insights into the origin of code patterns with just a few taps. Key Features: Dual Search Modes: Search for repositories directly via keywords or paste a specific GitHub URL for a deep-dive analysis. Comprehensive ML Analysis: Our model scans code files, commit history, and directory structures to determine the likelihood of AI generation. Detailed Score Breakdown: Get a transparent look at how the AI Score is calculated, including individual ratings for code patterns, commit styles, and project structure. Visual Pattern Recognition: Use our intuitive "Human vs. AI" slider and radial progress indicators to understand repository authenticity at a glance. On-Device Privacy: Analysis is powered by high-performance on-device ML models, ensuring your data remains private and the detection is lightning-fast. Beautiful, Minimalist UI: Designed with a clean, modern interface that makes navigating complex repository data easy and accessible.

Lumen Playground is the living SwiftUI catalog for Lumen UI, a cross-platform primitive design system. Search the public component library, exercise real native controls, and compare Lumen's semantic light and dark themes directly on iPhone or iPad. Every example is built with the same LumenUI package available to application developers. Explore: • Foundations, actions, forms, feedback, data display, navigation, and native presentations • Interactive loading, disabled, selected, validation, overlay, and empty states • Native Dynamic Type, VoiceOver semantics, focus behavior, and platform conventions • Shared Lumen icons, colors, spacing, typography, and visual treatments • Direct links to implementation documentation and public support The catalog works without an account and does not include advertising, analytics, tracking, or data collection.