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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.

A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).

A comprehensive guide to OpenCode, the open-source AI coding tool — covering installation (desktop/WSL), model config, rules files, custom commands, MCP extensions, and Agent SQL capabilities.

Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.

MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.

Cloudflare announces native x402 HTTP payment protocol support, enabling developers to charge stablecoin micropayments for API calls without accounts or keys. Deep dive into how x402 works and its impact on AI Agent economics.

Gemini 3.5 Flash auto-extracts flight info from Gmail, generates personalized jet lag recovery plans, and syncs them to Google Calendar. Full workflow review and AI implications.

A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.

A deep dive into SWE-bench Multilingual benchmark covering 9 programming languages, 300 real GitHub tasks, its design methodology, language distribution, evaluation metrics, and significance for AI coding assistants.

Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.

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.

A deep dive into OpenAI Codex CLI's core capabilities and practical usage, covering setup, agents.md configuration, slash commands, MCP protocol, multi-agent collaboration, and RAG system development.

The UK government pilots an AI planning approval system with DSIT, MHCLG, and i.AI, aiming to cut housing planning processing time by 50% through automated document review and intelligent triage.

In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.

Deep dive into how GitHub's trending project Ponytail uses YAGNI principles, NCP protocol, and declarative scheduling to constrain AI coding assistants, cutting 90% of redundant code.

A developer used OpenAI Codex and Antigravity to build and launch a WeChat Mini Program in 3 days with zero code. Full breakdown of the AI recipe app's design, tool workflow, and development process.

A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.

Learn how to install and configure the Codex plugin in Claude Code, leveraging dual-AI adversarial review to uncover code vulnerabilities across seven attack surfaces.

Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.

Hands-on review of Tencent Cloud ADP 4.0: testing its full-lifecycle Agent management — from rapid creation and enterprise integration to automated evaluation and Skill governance for real-world deployment.