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TutorialsStep-by-step guide to deploying Codex with Ollama locally for a free AI coding assistant, covering hardware checks, Ollama setup, model downloads, and full integration configuration.
Product ReviewsDeep dive into OpenAI Codex desktop app: real-time task management, Skills system, MCP protocol integration, Work Trees isolation, and automated tasks reshaping developer workflows.
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TutorialsA complete guide to installing and configuring the Godot AI plugin. Use MCP protocol to let Claude and Codex create scenes, run tests, and debug with screenshots — build a 3D platformer in 10 minutes.
TutorialsA practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.
Tech FrontiersDeep dive into IBM Think 2025's Generative Computing and Granite 4, why reasoning model hallucination rates are rising, and OpenAI's $3B Windsurf acquisition strategy.
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Deep DivesA clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
TutorialsDeep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
TutorialsA complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Deep DivesA deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
TutorialsA deep dive into AI canvas node-based creative workflows, covering AI image generation, video generation, 4K output, and multi-model orchestration for visual AI content creation.
TutorialsA deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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