152 related articles

A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.

A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.

Harness is a 4.6K-star open-source multi-Agent framework that auto-generates AI teams from a single sentence, with six built-in collaboration architectures.

Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.

OpenAI Codex beginner's practical guide covering environment setup, code generation, bug fixing, and project refactoring. Includes efficient learning tips and Prompt techniques for fast AI programming mastery.

Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.

A detailed look at the Claude Code Chinese handbook on Feishu, covering setup, domestic LLM integration, commands, and templates for users in China.

Deep dive into Andrew Ng & OpenAI's ChatGPT Prompt Engineering course: Base LLM vs instruction-tuned models, two core prompting principles, and API-first development thinking for developers.

Deep dive into Replit's AI Loops workflow: how orchestrators, parallel agents, and Computer Use Verifiers build automated closed-loop systems through multi-agent collaboration.

Deep analysis of oh-my-openagent plugin's critical flaws: hardcoded Claude Opus 4.7 identity misleads non-Claude users, prompt injection doubles token costs. Includes alternatives and developer tips.

A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.

A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.

A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.

A complete guide to building apps with AI coding tools, covering product docs, prototyping, full-stack development, database design, project management, and testing — no coding required.

Deep dive into Andrew Ng's Knowledge Graphs for RAG course with Neo4j. Learn how knowledge graphs overcome traditional RAG limitations to enable cross-document relationship reasoning.

Xiaomi open-sources MiMo Code, an AI coding tool with infinite memory, multi-Agent collaboration, and Claude Code compatibility — solving context forgetting in large projects.

Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.

A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.

A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.