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A systematic guide to the three core math areas for ML—linear algebra, calculus, and probability—with verified free resources like Mathematics for Machine Learning, 3Blue1Brown, and practical learning strategies.

An in-depth analysis of ag-kit, a TypeScript-based AI Agent development toolkit covering core architecture, modular design, use cases, and tech selection advice for full-stack developers.

A deep dive into domain resolution challenges for self-hosted home servers, covering Split DNS concepts and how Tailscale App Connector enables unified domain access across internal and external networks.

Know a little of everything but can't figure out what to build? Practical methods to overcome tech decision paralysis and find your ideal project direction.

Discover underrated niche self-hosted open-source tools across bookmarks, passwords, document archiving, knowledge bases, and dashboards, with deployment tips.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

Complete guide to Claude Code covering CLI installation, domestic model switching, core commands, Git automation workflows, and automated code review and fix loops for enterprise projects.

Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.

The hardest part of AI short dramas isn't generating a pretty shot, but keeping characters, scenes, and style consistent. This article uses a real American campus drama test to detail how to build reusable workflows with Skills, plus three pitfall-avoidance tips.

CodeWorld is a Codex-native infinite canvas plugin that lets you edit photos directly by drawing annotated leader lines. In our test, editing three spots at once only changed the marked areas while preserving overall detail—beginner-friendly, one line to install.

A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.

Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.

A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.

Build a personal website with Vibe Coding even with zero coding background! Practical tips for collaborating with AI via Codex and DeepSeek: have AI restate needs, use screenshots, change one thing at a time, and deploy your site with ease.

Build a personal website with Vibe Coding even from scratch! Practical tips for collaborating with AI via Codex and DeepSeek: have AI restate requirements, use screenshots to locate, change one thing at a time, and handle long Chinese text.

A systematic guide to Claude Code, covering CLI installation, switching to domestic models, project analysis, code generation, and Git workflow. Master the CC command system and land enterprise-grade development applications quickly.

A systematic guide to Claude Code: from CLI installation and domestic model switching to project analysis, code generation, and Git workflows. Master the CC command system and engineering collaboration.

A complete guide to installing and configuring Claude Code, using CLI commands, switching to Chinese LLMs like DeepSeek via CC Switch, and mastering conversational Git workflows and automated code fixes.

A breakdown of the 6 best high-paying AI career paths for beginners: LLM application development, AI agents, computer vision, AI infrastructure, AIGC, and embodied AI—with salary ranges, core skills, and who they suit.