558 related articles
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.
TutorialsReal-world experience building a WeChat Mini Program with Cursor, covering product design, technical pitfalls, and creative LLM API usage — a practical guide for AI programming beginners.
Product ReviewsWhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
Product ReviewsHands-on review of CodeRabbit's free AI code review tool, covering VS Code extension setup, Git branch workflow integration, security detection, and AI coding assistant collaboration.
TutorialsStep-by-step guide to building an automated short video generation workflow on Coze, covering script writing, voiceover, AI images, video synthesis, and CapCut packaging.
TutorialsLearn how to build a full-pipeline automated money-making system using Multi-Agent architecture, covering Customer Service Agent, Cashier Agent, Delivery Agent setup, workflow orchestration, RAG knowledge bases, and MCP tool calling.
TutorialsA detailed guide to Claude Code's four permission modes: Plan Mode, Default Mode, Auto-edit Mode, and Full Permission Mode, with Shift+Tab switching tips and best practices for each scenario.
How a 5-Person Team Reimagined the Ent…
How a 5-person fleet management team uses OpenAI Codex to revolutionize efficiency: non-technical staff build products independently, orchestrator pattern for layered scheduling, and verify-first mode for code quality.
Tech FrontiersDeep dive into Voice Hack Night's People's Choice winner Agentic OS: a voice-first AI phone OS using multi-Agent cross-app collaboration to replace touch with natural language conversation.
ResearchDeep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
TutorialsStep-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
TutorialsA practical guide to GenSpark's six AI Agents: AI Developer for websites, AI Designer for visuals, AI Sheets for data, AI Slides for presentations, Workflow automation, and Claw mobile manager.
Industry InsightsDeep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
TutorialsComplete guide to using GPT-Image-2 for free in China, covering aggregation platform access, core capability testing, prompt tips, and practical advice for content creators.
TutorialsComplete Hermes Agent deployment tutorial for Windows: environment setup, model configuration, WeChat channel connection, and troubleshooting. Uses fewer tokens than CrawlAI with direct WeChat chat support.
Product ReviewsDeep dive into Gemini CLI V0.9.0's two core updates: Interactive Shell for seamless TUI programs like Vim and htop, and Codebase Investigator Agent for intelligent project-level refactoring with safe rollback.
Product ReviewsDeep dive into Cursor 1.0's six core features: Backboard PR review, Background Agent, Memories, One-Click MCP, Jupyter Support, and Rich Chat Response with hands-on testing results.
ResearchMementoGUI is a plugin-style multimodal memory management framework that solves GUI agent forgetting in long-horizon tasks through dual time-scale memory and four memory control operators, boosting long-task completion without fine-tuning.
Product ReviewsIn-depth comparison of Claude Code vs Cursor across billing models, use cases, and budget matching. Covers four budget plans ($20-$220/month) to help developers find the most cost-effective AI coding tool combination.
Deep DivesA beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.