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TutorialsAI agent coding is now reality in 2025. Learn how to set up OpenCode with DeepSeek and let AI agents write your code through conversation, not copy-paste.
Deep DivesDeep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
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.
Deep DivesDeep dive into ByteDance's Hermes Agent Orange Book covering self-evolution loops, three-layer memory systems, Skill ecosystems, and multi-Agent collaboration — a complete 198-page technical guide.
TutorialsA deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
TutorialsDeep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
Deep DivesDeep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
Tech FrontiersOn AlphaGo's 10th anniversary, Hassabis reunites with Lee Sedol in Korea. A look at how the 2016 match transformed Go theory, training, and AI's path to general intelligence.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Product ReviewsCompare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
Product Reviews2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
Deep DivesDeep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
TutorialsComplete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
TutorialsCursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
TutorialsDeep dive into Agentic RAG vs traditional RAG, covering planning, tool calling, and multi-step iteration capabilities with complete LangChain and LangGraph code implementation.
Deep DivesCursor SDK launches /orchestrate skill, using recursive multi-agent spawning for complex tasks with 20% Token savings and 80% faster cold starts.
Deep DivesDeep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
Product ReviewsDeep dive into ZeroClaw Plugin Hub, a multi-MCP router and SDK toolkit for Claude Code. Explore its routing capabilities, Agentic CLI design, SDK architecture, and how it solves AI tool ecosystem fragmentation.
TutorialsSimon Willison built a complete iNaturalist observation display tool using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI, Git Scraping automation, and pure frontend display.