147 related articles

Three trending AI open source repos this week: Text to Lottie for animations, BioDesign local engine for UI mockups, and Self-Learning Skill for persistent AI memory. Install each with one command.

AI Workbenches automate the full content creation pipeline — from topic research to visual output. Multi-model routing, transparent execution, and reusable workflow templates redefine how creators work.

The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.

GitHub Trending July 3: AI pen testing tool strix tops the chart, Claude Code ecosystem explodes with Skills, Agents, and plugins reshaping development.

Hands-on review of MiniMax Hub desktop app — testing a full creative workflow from PDF brief to finished video, covering canvas editing, image tools, video generation, and the skills system.

Deep dive into Loop Engineering's five building blocks: scheduling, worktrees, skills, plugins & connectors, and subagent separation, with three practical cases from minimal loops to enterprise-grade applications.

OpenAI Codex launches Record and Replay: record your Mac screen workflow once, auto-generate reusable skill files. No coding or complex prompts needed.

Complete guide to OpenAI Codex covering installation, permission setup, project management, skills reuse, plugin extensions, and automation tasks to turn Codex into a true project collaborator.

In-depth comparison of Codex, Claude Code, and Cursor across price, stability, and frontend/backend strengths, with a practical selection guide for developers.

Deep dive into the essential difference between Skill and MCP in AI Agent development. Skill handles the process layer for codifying workflows; MCP handles the capability layer for connecting external systems.

Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.

A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.

In-depth comparison of Claude Cowork and OpenAI Codex across UI, integrations, automation, design, and pricing to help you choose the best AI Agent tool.

Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.

In-depth guide to Kimi Code's advanced features: video understanding, Swarm parallel mode, ACP protocol IDE integration, Goal multi-round iteration, and Skills configuration with Claude Opus comparison data.

A deep dive into enterprise AI programming with Claude Code and Codex — from Vibe Coding limitations to SuperPower engineering workflows, model selection, and AI aggregation platforms.

A complete hands-on guide to OpenAI Codex covering installation, CLI interaction, agents.md setup, MCP protocol integration, Rules governance, and building a RAG intelligent customer service system.

Explore three AI programming modes — Vibe Coding, Plan Mode, and AI Engineering — with practical comparisons of Claude Code, Codex, and domestic LLMs, plus SDD-driven enterprise development workflows.

In-depth review of Illusion Code CLI AI coding assistant: 34+ core tools, 7 specialized Agents, three permission modes, and Chinese ecosystem support, compared with Claude Code, Codex, and OpenCode.

Explore OpenAI Codex's Record & Replay plugin that captures mouse and keyboard actions via MCP server to auto-generate reusable, shareable Skills for zero-code RPA automation.