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Product ReviewsLark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
Expert OpinionsLearned tons of AI courses but can't apply them? This article reveals the right direction: stop chasing tools, use AI agents to solve real business problems with 10x efficiency gains.
Product ReviewsRoundup of 6 developer tools: CodeBurn for AI coding token cost tracking, Mirage virtual file system for Agents, Boring SSH tunnel manager, PeerTrace file tree renderer, DataTab font-based data visualization, and Flu TypeScript Agent framework.
Product ReviewsIn-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
TutorialsExplore building AI Agents on Kinoviz for automated vector animation, analyzing the division between system and AI capabilities, and applications in logo animation and data visualization.
Tech FrontiersDeepSeek-V3.2 released with coding, math, and Agent capabilities matching Gemini 3.0 Pro, setting new open-source SOTA. Detailed analysis of performance gains, use cases, and deployment tips.
TutorialsLearn how to run Codex locally with Ollama and Gemma 4 for zero-cost AI programming. Covers installation, model selection, and real demos as an alternative to $20-200/month paid plans.
Product ReviewsLearn how OpenAI Codex Computer Use combined with AI memory auto-fills forms. From job applications to project proposals, AI controls the interface and extracts history to complete 30-minute forms in seconds.
TutorialsIn-depth review of a 628-episode free Python full-stack tutorial on Bilibili, analyzing its strengths, limitations, and providing learning strategy advice for Python beginners.
TutorialsIn-depth review of a 628-episode free Python full-stack tutorial on Bilibili, analyzing its strengths, limitations, and providing learning strategy advice for Python beginners.
Deep DivesDeep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
TutorialsStep-by-step tutorial on deploying Dify locally using VMware, Ubuntu, BT Panel, and Docker. Covers environment setup, common error fixes, and next steps for building AI apps.
TutorialsDeep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
TutorialsDeep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
TutorialsDeep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
TutorialsDeep dive into MCP (Model Context Protocol) core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
TutorialsDeep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
TutorialsLearn how to use Codex, Claude Code, and Cursor together to dissect industrial-grade Agent source code, with a reusable layer-by-layer methodology applied to OpenCloud.
TutorialsA complete breakdown of AI Agent development: 3 agent types (autonomous, collaborative, orchestration-based), 8 core mechanisms, a 5-stage learning path, and framework selection guidance.
TutorialsA systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.