2162 related articles
Expert OpinionsIn-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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.
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.
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.
TutorialsCursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
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.
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.
Expert OpinionsVibe Coding makes building apps as easy as writing blog posts, but personal tools lack good distribution channels. This article explores using RSS as a lightweight app distribution protocol.
Product ReviewsSimon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.
Industry InsightsBased on research with 218 engineering leaders, this deep dive explores the contradictory emotions in AI-native transformation — excitement and anxiety coexisting — and how leaders navigate successful change.
Expert OpinionsAdopting AI coding tools isn't the same as transforming how you build. Learn how engineering teams can restructure their SDLC around AI for true competitive advantage.
Industry InsightsA survey of 219 engineering leaders reveals most teams adopted AI dev tools without truly changing how they build software. Discover the gap and three key traits of successful transformation.
Tech FrontiersGoogle's threat intelligence team intercepted the first AI-assisted zero-day exploit targeting 2FA bypass. Explore how AI is reshaping cyberattacks and what enterprises must do to defend against AI-driven threats.
Tutorialsawesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.