44 related articles

An in-depth look at the difference between Vibe Coding and AI engineering-grade programming. Can AI replace programmers? From Claude Code and Codex to Cursor, revealing the real limits, enterprise pain points, and engineering solutions of AI coding tools.

In-depth comparison of Claude Code and Codex AI programming tools covering accuracy, installation, and network setup tips to help developers choose the best solution.

Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.

A deep dive into enterprise RAG from setup to production, covering document chunking, vector search, query rewrite, reranking, and quality evaluation frameworks.

Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.

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

Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.

A Vue3 beginner tutorial centered on "learn just enough, apply immediately." A three-stage path covers reactivity, Composition API, Element Plus, and data visualization, culminating in an enterprise-grade AI health monitoring system with blood sugar management, RAG consultation, and doctor-patient collaboration.

Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.
iptv-org: The Open-Source Project with…
iptv-org/iptv is a GitHub project with 133K stars collecting thousands of public IPTV channels worldwide. Provides M3U playlists organized by country, language, and category, compatible with VLC, Kodi, and more.

Daedalus is an open-source local AI engineering runtime built on Ollama, covering architecture, debugging, and security. Zero token costs, full privacy, integrates with Claude Code and OpenCode.

A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.

A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.

awman's --dynamic flag enables cross-framework dynamic workflows with multi-model collaboration. Explore its leader agent architecture, shared context design, and auto fault-tolerance mechanisms.

AI code spiraling out of control? This article breaks down a three-layer engineering system — Prompt rules, Skill workflows, and Harness feedback loops — with real-world results showing pass rates rising from 70% to 98%.

Master OpenAI Codex end-to-end: CLI setup, slash commands, AGENTS.md design, MCP protocol, multi-agent coordination, and enterprise plugin development.

A developer builds a 3D editor from scratch in C++, modeling programs as dataflow graphs rather than object collections. Exploring dataflow vs. OOP, Greenspun's Tenth Rule, and the debugging dividend of visual programming.

A structured 6-week roadmap for enterprise Agent deployment covering LangChain, LangGraph, MCP, and RAG — from planning and memory to multi-agent collaboration and production deployment.

An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.

How can beginners learn Python without getting lost? This guide outlines a 3-stage learning path covering basics, advanced topics, and hands-on practice in web scraping, data analysis, and office automation.