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Claude Code creator Boris Charney shares how AI programming has been solved: from 150 daily PRs to agent loops running 24/7, and why coding will become as universal as literacy.

Wu Xiangrong spent 23 years planting 18 million trees in the Tengger Desert. From straw checkerboards to water-jet planting that cut water use from 150L to 2L per tree, discover the science behind China's green desert border visible from satellite.

Taste-Skill is a 33K-star GitHub project that embeds aesthetic rules into AI prompts, helping Claude Code, Cursor, and other AI tools generate better-looking UI.

Complete guide to installing and configuring OpenAI Codex, covering Git, Node.js prerequisites, sandbox permissions, multi-task parallelism, and context management for developers.
AI Coding Gone Wrong: A No-Code Writin…
A real-world account of building an AI writing assistant with zero code — featuring three crashes, a four-step delivery process, and hard-won lessons for Vibe Coding.

A deep dive into ROS2's nature, applications, learning paths, and career prospects. Covers autonomous driving, robotic arms, and mobile robots with salary data and core technical requirements.

A complete guide to the Vibe Coding workflow: ship products without writing code using Gemini for docs, Figma Make for design, and Cursor for AI coding.

5 advanced Claude Code Skill techniques — Prompt Optimizer, Deep Interview, Real Plan, Code Simplifier, and Skill Creator — to build reusable AI workflows that reduce rework and boost precision.

A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.

Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.

A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.

A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.

A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.

Automate JMeter script generation with AI Skills, cutting manual configuration from 1 hour to 5 minutes. Learn the core Skill template elements, real efficiency data, and team standardization value.

A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.

A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.

Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.

Deep analysis of Closco's research automation platform covering cloud sandbox architecture, self-healing execution, batch computing, and applications in computational materials science, drug design, and genomics.

A detailed guide to the four-step document-driven Vibe Coding method: from requirements docs to code generation, building a GPS check-in app with AI from scratch.

A beginner's guide to Vibe Coding: learn the core philosophy, set up Miniconda virtual environments, and use natural language to let AI write code for you — no programming experience required.