113 related articles

How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.

A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.

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.

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.

Can you build products with AI without knowing how to code? This article breaks down the complete Vibe Coding learning path: from mastering AI coding tools like Claude Code and Cursor, to writing high-quality prompts and completing hands-on projects.

Can you build products with AI without knowing how to code? This article breaks down the complete Vibe Coding learning path: from mastering AI coding tools like Claude Code and Cursor, to writing great prompts and completing real projects.

Want to break into AI from scratch? This article breaks down an efficient self-study roadmap: from Python, math, and machine learning basics to PyTorch, then to CV, NLP, and data mining—reaching entry-level career-switching intensity in 3 months.

Can you really earn over 10K a month through AI freelance gigs with zero experience? This article breaks down the real barriers to monetizing AI coding, what AI tools can and can't do, and the traffic-driving playbook behind it.

Claude Code is an AI-assisted coding tool for programmers, supporting natural language interaction and local environments. Even beginners can pick it up fast.

Coze by ByteDance is a no-code AI agent platform with visual workflows, 60+ plugins, knowledge bases & persistent memory. A complete beginner's guide.

A 3-month structured roadmap for developers transitioning into AI/LLM engineering: Python & API basics, LangChain/FastAPI stack, and RAG/Agent projects.

A complete Python learning path for beginners covering three modules: Fundamentals, Intermediate, and Hands-On Practice — including web scraping, office automation, and data analysis.

Learn how to build full-stack WeChat Mini Programs using only JavaScript. This guide covers cloud databases, cloud functions, and cloud storage with a real-world project.

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.
Agentty: An 11MB Lightweight Claude Co…
Agentty is an open-source AI coding assistant written in C++26, compiling to just 11MB. Positioned as a drop-in alternative to Claude Code, it explores lightweight, native-first AI tooling.

Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.

Gaurav Sen reveals the fatal trap in AI learning: starting from ML fundamentals often leads to burnout. Learn the Onion Model approach—RAG, Agents first, Transformers next, math last.

A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.

A structured zero-to-one roadmap for AI Agent development: Phase 1 covers Python & LLM basics, Phase 2 tackles five core Agent capabilities and LangChain/LangGraph, Phase 3 delivers hands-on RAG projects.
How DSLs Make LLM Outputs More Reliabl…
LLM output instability is a core production challenge. This article analyzes how DSLs improve LLM reliability through verifiability, semantic convergence, and structural constraints.