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TutorialsBuild an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
Product ReviewsTrae AI for STM32 Development: LED Blink Compiles First Try with Zero Bugs
Hands-on test using Trae AI for STM32 MCU development: from CubeMX project setup to LED blink, code compiles first try with zero errors. Full workflow and capability analysis.
TutorialsLLM Agent Development Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A systematic three-step learning path for LLM Agent development: from Prompt Engineering and API calls, to RAG and vector databases, to ReAct and multi-agent systems.
Product ReviewsTrae vs Qoder vs CodeBuddy: In-Depth Comparison of China's Top AI Coding Tools in 2025
In-depth comparison of ByteDance's Trae, Alibaba's Qoder, and Tencent's CodeBuddy—covering core capabilities, use cases, and target users with detailed analysis to help you pick the best AI coding assistant.
Product ReviewsTrae Local Windows Log Analysis in Practice + Fedora 44 Desktop Experience Review
Hands-on with ByteDance's Trae AI tool for local Windows BSOD log analysis, plus a deep-dive review of Fedora 44's desktop experience including RDP support.
TutorialsTrae IDE + Image-Color AI Programming in Practice: Complete Workflow for Automated Image Finding and Clicking
Complete walkthrough of Trae IDE agent configuration and image-color automation plugin development, demonstrating AI-written image finding, ORB algorithm switching, and auto-clicking features.
TutorialsFull-Stack Development for Beginners in the AI Era: Don't Write Code — Learn to Manage It
AI coding tools make code generation easy, but a huge gap remains between code and product. This article breaks down frontend, backend, and DevOps stacks, exploring how beginners can manage code with AI.
TutorialsTrae AI Coding Tool: Download, Installation & Setup Guide (2025 Latest)
Complete guide to downloading, installing, and configuring ByteDance's Trae AI coding tool. Free built-in LLMs like DeepSeek for AI-assisted Python programming.
Deep DivesThe Complete Evolution of YOLO from V1 to V11: A Comprehensive Comparison of Architecture, Accuracy, and Speed
A complete breakdown of YOLO object detection from V1 to V11, covering Anchor Box, multi-scale detection, CSP-Darknet, C2f, and more.
TutorialsTrae Download, Installation & Configuration Guide: Get Started with AI Programming from Scratch
Complete guide to downloading, installing, and configuring ByteDance's Trae AI editor. Free built-in LLMs, VS Code compatible, Chinese language support — ideal for developers and Python beginners.
TutorialsEasyClick Multi-IDE Collaborative Programming in Practice: Three Approaches to Double Your Development Efficiency
Three multi-IDE collaboration strategies for EasyClick development: UI/script separation, plugin modules, and modular splitting. Combine Trae, Lingma, Cursor to break single-IDE limitations.
TutorialsClaude Skills Tutorial: Building an AI Agent Skill System from Scratch
Learn to build AI Agent Skills for Claude Code: skill.md writing, script integration, image generation workflows, and reusable skill architecture from scratch.
TutorialsAI-Generated HTML Embedded Development Tools: Font Bitmaps, CRC Checksums, and Serial Debugging in One Click
Use AI to generate pure HTML embedded development tools covering font bitmap generators, CRC checksum calculators, and serial port debuggers. Zero install, cross-platform, one-minute customization.
Product ReviewsDeep Dive into Cursor Team Kit: Why Quality Gates Must Shift Left in the AI Programming Era
Deep dive into Cursor's official Team Kit covering CI monitoring, code review, UI verification, and how quality gates must shift left as AI programming accelerates code generation.
TutorialsGetting Started with Qwen3-0.6B Fine-Tuning: Core Concepts of Large Language Models and Fine-Tuning Methodology Explained
Starting from the three core characteristics of LLMs, this article systematically covers foundational knowledge needed for Qwen3-0.6B fine-tuning, including model comparisons, fine-tuning value analysis, and the complete learning path.
TutorialsClaude Code Skill Creator in Practice: Build Automated Testing Skills in 4 Steps
A detailed guide to Claude Code Skill Creator's complete workflow: from writing requirements and generating skills to natural language iteration and old skill cleanup for test automation.
TutorialsLearning C in 2026: An Efficient Beginner's Guide Powered by AI Programming Tools
Learning C in 2026 is still essential. Learn how to efficiently study C with AI tools like GitHub Copilot and Cursor AI, covering C history, version selection (C99 recommended), and AI-assisted learning paths.
TutorialsLangChain Agent Development Tutorial: RAG and Agent Hands-On Learning Path
A systematic learning path for LangChain Agent development covering RAG, autonomous Agent decision-making, and tool calling—from zero to production-ready projects.
TutorialsLangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
TutorialsIntroduction to Prompt Engineering: The Real Reason AI Can't Understand You
Why does AI always give irrelevant answers? This article explains prompt engineering fundamentals from the probabilistic prediction principles of LLMs, teaching you how to communicate effectively with AI.