39 related articles

An open-source STEM education robot using Edge Impulse edge AI for local object detection, teaching kids computer vision and ML through an engaging ball-fetching game with anthropomorphic design.

A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.

A hands-on case study: using Claude Code and the LVGL graphics library to build a Tetris game running on an embedded dev board from scratch in under 3 hours.

Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.

Build an AI game assistant from scratch with no coding experience! This hands-on guide walks you through Dify + RAG — from knowledge base setup to agent creation and tuning.
Build Your Own X: The Hardcore Learnin…
Explore build-your-own-x, the 520K-star GitHub project that teaches developers to rebuild databases, OSes, and compilers from scratch — and why it matters more than ever in the AI era.
GitHub Daily · July 16: AI Agent Secur…
Today's GitHub Trending: AI Agent security tool destructive_command_guard surged +471 stars, hallmark's anti-AI-slop design pack jumped +1,277, and OpenCut leads as the open-source CapCut alternative.

Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.

Shrinking GitHub Copilot student benefits? Learn to install the Claude Code plugin in VSCode and connect the DeepSeek V4 API via CCSwitch—powerful Agent capabilities at 25% price, no IDE switch needed.

A complete AI Agent learning roadmap covering agent principles, prompt engineering, RAG, multi-agent systems, and hands-on projects — from zero to real-world deployment.

A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.

Anthropic releases Claude Sonnet 5, its most agentic Sonnet model yet. With planning, browser/terminal tool use, and autonomous execution, it brings flagship Agent capabilities to mid-tier pricing.

Anthropic releases Claude Sonnet 5, its most agentic mid-tier model with planning, browser/terminal tool use, and autonomous execution—bringing flagship Agent capabilities at significantly lower cost.

UE5.8's official MCP plugin enables Claude Code and other AI Agents to directly control Blueprints, PCG graphs, materials, and level design. Complete setup and testing guide included.

In-depth analysis of OpenAI Codex's four usage forms, comparing Codex, Claude Code, and Cursor across price, stability, and frontend/backend fit to help developers choose the right AI programming tool.

Can zero-experience users replace programmers with AI tools? This article breaks down 4 core AI coding pain points and the 3-stage evolution from Prompt Engineering to Harness Engineering.

A complete beginner's guide to Claude Code covering setup, Plan Mode, CLAUDE.md project memory, MCP connectors, Skills, Plugins, and deploying via GitHub and Vercel.

A systematic 6-week AI Agent development roadmap covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and deployment for beginners to build production-ready agents.

Hands-on review of Qwythos-9B, distilled from 500M+ Claude reasoning traces. Supports 1.04M token context, uncensored, runs on just 4GB VRAM. Full deployment guide included.

A systematic AI Agent learning roadmap for beginners covering core theory, the ReAct paradigm, and multi-agent collaboration, with hands-on project suggestions.