148 related articles

How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.

Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.

A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.

Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.

OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.

Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.

A detailed guide for Chinese developers on configuring the Codex CLI AI coding tool with GPT-5.5 via API proxies, covering setup steps, efficiency gains, and security risks.

DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.

A complete MCP practical guide using the official Python SDK — covering environment setup, FastMCP server development, Inspector debugging, and multi-client integration with Cursor and Cline.

Why should ordinary people learn Python in the AI era? Discover Python's value in calling LLM APIs, automating data tasks, and building AI apps to evolve from AI user to AI master.

Cursor hosts the Compole in-person event with custom keyboard building as a highlight. Analyzing how AI coding tools use developer culture and community strategy to build brand loyalty amid fierce IDE competition.

Cursor unveils three major updates: Cursor Mobile, Origin platform challenging GitHub, and a frontier in-house LLM trained from scratch. A deep dive into Cursor's strategy.

sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.

An art student indie developer uses AI coding tools to combine Pokémon GO gameplay with Chinese cultivation culture, creating an LBS mobile game prototype for walking, cultivating immortality, and catching demons.

Learn how to build a full local errand-running mini program in 37 minutes using AI tools like Stitch, Trae, UniApp, and UniCloud — covering UI design, full-stack development, and cross-platform publishing.

Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.

AI tools are reshaping software development costs like cloud computing once did. Learn why developers should shift from vertical depth to horizontal expansion and build bigger systems with smaller teams.

June 2026 GitHub AI trends: Agent ecosystem middleware tools surge — PM Skills, Agent Reach, Graphify, and Skill Spectre signal the Agent middleware era.

Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.

Complete guide to Hermes Agent from basics to practice, covering architecture analysis, Rules.md configuration, MCP service integration, and three hands-on projects: AI news bot, auto blog development, and scheduled code review.