CodeMateX - AI Coding Tutor
Education
On-device AI coding tutor with offline lessons & interactive code runner.
- Downloads
- 19+
- on Google Play
- Price
- Free
- No in-app purchases
- Updated
- Sep 27
- 2026 · v1.26.0
Screenshots
About CodeMateX - AI Coding Tutor
No cloud subscriptions. No telemetry. Your private prompts, learning queries, and AI chats are processed 100% on-device and never sent to cloud LLM servers.
✨ KEY HIGHLIGHTS & FEATURES
📚 Interactive Guided Courses & Syllabi
Master modern languages with structured, offline-first curriculum courses:
• Kotlin: Complete Kotlin Tour (Beginner & Intermediate) + Kotlin Foundations
• Go: Comprehensive "Go by Example" (85+ lessons) + Go Foundations
• Rust: Complete "Rust by Example" (196+ lessons) + Rust Foundations
• Python, TypeScript & Swift: Full foundational syllabi with syntax deep-dives
• Interactive Quick-Check Quizzes: Test your comprehension with instant visual validation and explanations
• Curriculum Progress Tracking: Track completed chapters, active lessons, and resume anytime
• Language Filtering: Sticky filter chips to seamlessly browse courses by language
▶️ In-App Code Execution & Terminal Runner
Run code snippets directly within guided lessons:
• Execute interactive code snippets in Kotlin, Go, Rust, Python, and TypeScript via high-speed edge sandbox execution (requires internet connection).
• Real-time terminal console output for instant verification.
• Smart Offline Mode: When disconnected from Wi-Fi or data, CodeMateX automatically adapts to offline reading mode so you can study lessons, take quizzes, and chat with your local AI tutor anywhere.
🧠 100% Local On-Device AI
• Powered by Google LiteRT-LM (supporting Gemma 2 2B, Qwen 2.5 Coder, Qwen 3, and Phi-4 Mini).
• 100% Private: All AI chats, explanations, and debugging queries run entirely on your device hardware with zero cloud LLM calls.
• Zero latency from network roundtrips.
• Context-Aware In-Lesson Chat: Ask AI Tutor questions directly about specific lesson snippets.
• Tunable AI Personas: Switch between Senior Architect, Beginner Tutor, and Interview Coach.
• Developer Profile: Inject your experience level and preferred stack into the AI's context.
🛡️ Complete Privacy & Security
• Your AI prompts, questions, and learning history never leave your device.
• No accounts, sign-ups, tracking, or personal data collection.
• Code snippet execution in the runner is sent over encrypted HTTPS solely to compile and execute, without user association or persistent storage.
📊 Real-Time Hardware Telemetry & Benchmarking
Inspect on-device LLM performance in real time:
• Hardware Backend acceleration indicators (NPU, GPU OpenCL/Vulkan, and CPU).
• Time-to-First-Token (TTFT) prefill latency in milliseconds.
• Active decode speed in tokens per second (t/s).
• Real-time model memory footprint and hyperparameter tuning (Temp, Top-K, Top-P).
🎨 Material 3 Expressive & Code Customization
• Atmospheric ambient lighting and dynamic topic visual branding.
• Syntax highlighting powered by Highlight.js with themes: Tomorrow, Atom One, GitHub, Dracula.
• Configurable code view: line numbers, font sizing, and compact density presets.
• Material You adaptive layout optimized for phones, foldables, and tablets.
⚙️ HARDWARE REQUIREMENTS
To deliver responsive on-device LLM inference, CodeMateX is optimized for modern high-performance devices:
• RAM: 8 GB RAM recommended (6 GB minimum).
• Processor: 64-bit ARM architecture (ARM64-v8a).
• Graphics: Vulkan 1.1+ compute shaders or OpenCL GPU acceleration.
Level up your programming skills today with a private, powerful AI tutor and interactive code lab right in your pocket.
What’s new
Version 1.26.0 · Updated September 27, 2026
Welcome to CodeMateX — your 100% private, on-device AI coding tutor! • 100% Offline & Private: Run open-source LLMs (Gemma, Qwen, Phi) locally via Google LiteRT-LM with zero cloud data sharing. • Curated Coding Topics: Master Kotlin, Jetpack Compose, Coroutines, System Design, and Android Architecture. • Real-Time Benchmarking: Track live token generation speed (t/s) and GPU hardware acceleration. • 🆕 Guided course and lessons, performance improvements and bug fixes
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