2405 related articles
TutorialsDeep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
TutorialsIn-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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 FrontiersWeekly AI roundup: Kimi K2.6 tops open-source rankings, Anthropic launches Opus 4.7 and Claude Design, Alibaba rolls out Qwen 3.6 series, Google releases emotion-controllable TTS model.
Product ReviewsDeep dive into the three Notion MCP Developer Challenge winners: Note Runway, Deaf Notion, and Relay. See how AI Agents integrate with Notion via MCP to transform note-taking into an AI knowledge hub.
TutorialsA 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.
TutorialsSpring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
Product ReviewsDeep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
Industry InsightsHow can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
Deep DivesDeep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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 FrontiersMultiple core leaders depart Alibaba's Qwen team amid metric disputes. Same day: MiniMax Music 2.5+, OpenAI GPT 5.3 Instant, Google Gemini 3.1 Flashlight, and Seedance 2.0 pricing announced.
Tech FrontiersDeepSeek releases OCR2 replacing CLIP with an LLM as visual encoder; Moonshot AI launches Kimi K2.5 with 100+ sub-agent cluster mode; Microsoft deploys 3nm Maia 200 chip; Alibaba releases Qwen3 Max Thinking.
Tech FrontiersAlibaba's Qwen APP launches 400+ features integrating Alipay and Taobao, Baidu releases ERNIE 5.0, Meituan unveils deep reasoning model, StepFun tops global speech AI rankings, and Anthropic's share nears Google's.
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.
Product ReviewsReal-world comparison of Qwen 3.6 and Gemma 4 local AI models building a Markdown editor with Tauri, testing planning ability, code generation, and development efficiency.
Product ReviewsIn-depth review of Kimi K2.6 open-source model across frontend development, multi-agent collaboration, and long-horizon tasks, covering four professional modes, 3D/SVG generation, and pricing analysis.
TutorialsDeep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
Product ReviewsDeep analysis of Moonshot AI's open-source Kimi K2.6 Agent orchestration: 300 sub-Agents executing 4000-step tasks, outperforming GPT-5.4 in coding benchmarks, LoRA fine-tuning on 2x RTX 4090s.
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.