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TutorialsLearn how to integrate Godot MCP with OpenAI Codex to control the game engine via natural language, with a full walkthrough from setup to auto-generating an endless runner scene.
TutorialsMaster advanced AI art techniques: reference image upload to guide creative direction, plus 6 smart drawing modes — Smart Repaint, Line Art Coloring, Depth-Aware Repaint, Doodle-to-Image, Font Design, and Pose Recognition.
TutorialsA detailed guide to Coze platform's core features, including the differences between AI agents and AI applications, plus a beginner's learning path for building AI agents with no-code tools.
TutorialsLearn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
Industry InsightsCognition's AI programming tool Devin reveals major clients including Goldman Sachs, U.S. military, and Mercedes-Benz. Analysis of three key signals marking the commercialization tipping point for enterprise AI programming.
Tech FrontiersAbleton MCP is an open-source project that lets AI Agents control Ableton Live via MCP protocol, enabling natural language MIDI generation, intelligent sound search, and automated mixing.
Codex Desktop App Hands-On Tutorial: 1…
A detailed guide to 15 core use cases for OpenAI's Codex desktop app, covering file management, website development & deployment, browser control, Computer Use, Skills, MCP services, and automation.
Product ReviewsIn-depth review of ZhiHu AI's digital human streaming software: dual co-frame streaming, full-posture multi-scene support, timed host switching, smart script rewriting across 14 platforms with OEM options.
Deep DivesDeep analysis of why vector search fails at exact keyword matching, with a breakdown of enterprise hybrid retrieval architecture for RAG: keyword search as safety net, vector search for UX, RRF fusion, and query routing.
TutorialsA systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
Tech FrontiersOpenAI's GPT-5.3 codenamed Garlic is coming soon, Anthropic launches Claude Cowork for non-developers, plus breakthroughs in Baichuan M3 medical and SiNong agricultural AI models.
Tech FrontiersDeep dive into Google Gemini Omni's video style transfer: transform videos into watercolor, cyberpunk, or Ghibli styles using natural language. Explore its technology, workflow, and competitive landscape.
TutorialsA systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
Deep DivesWhy do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
Product ReviewsHands-on comparison of Gemini 3.1 Pro vs Claude Opus 4.6 across five real-world tests including SVG generation, interactive components, website building, and complex reasoning, with practical usage recommendations.
TutorialsCompare Claude Code vs traditional AI chat tools like ChatGPT across 5 dimensions: interaction, context, execution, memory, and tool invocation to decide if this AI coding assistant is right for you.
TutorialsComplete guide to installing and configuring VectCut AI Editing Agent on Windows and Mac, covering client download, CapCut draft path setup, and Git Bash installation.
TutorialsLearn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
Tech FrontiersAnthropic adds custom sub-agents to Claude Code, Cursor launches code review Agent BugBot, Qwen releases 92-language translation model, and Google unveils three experimental AI products.
TutorialsDeep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.