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TutorialsIn-depth analysis of how Cursor + MCP + AScript enables platform automation—covering architecture, workflow, and risk considerations for AI-powered development.
TutorialsLearn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
TutorialsComplete guide to enterprise RAG projects covering principles, LangChain implementation, data processing, retrieval optimization, evaluation, and cloud deployment for AI knowledge base applications.
Tech FrontiersGoogle Gemini 3.5 Flash surpasses Gemini 3.1 Pro on the GDPval benchmark. The lightweight Flash model leverages post-training techniques to approach frontier-level performance, redefining the balance between quality and cost.
TutorialsA comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
Tech FrontiersRoboflow benchmarks show Google Gemini 3.5 Flash outperforms the flagship Gemini 3.1 Pro on multiple vision tasks with ~6x faster inference, delivering a cost-effective multimodal AI solution.
Tech FrontiersGoogle Gemini 3.5 Flash achieves cost-intelligence Pareto optimality on Vending Bench. Analysis of the benchmark methodology, Pareto Frontier implications, and practical significance for AI developers.
Major Firebase Update: Comprehensive A…
Firebase announces major updates including AntiGravity integration, Android Studio Agent Mode, AI Logic security enhancements, Google Maps grounding, and hybrid AI inference support.
Product ReviewsZed Editor's Windows version is officially released. This free, open-source AI IDE built in Rust features extreme performance, built-in Cloud Code, Gemini CLI, and Codex agents, native debugging, and real-time collaboration.
Product ReviewsZed Editor's Windows version is officially released. This free, open-source AI IDE built with Rust features extreme performance, built-in Cloud Code, Gemini CLI, and Codex agents, a native debugger, and real-time collaboration.
TutorialsHow to build a fully automated invoice reimbursement system with local AI Agents, covering OCR, info extraction, and form generation with MinerU+Qwen3+Qianwen Po.
TutorialsA detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
TutorialsComplete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
TutorialsLearn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.
TutorialsLearn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
TutorialsGuide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
TutorialsA deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture, the three core primitives (Tools, Resources, Prompts), and how developers can quickly integrate with the MCP ecosystem.
TutorialsA deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
TutorialsLearn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
TutorialsDeep dive into Anthropic's open-source MCP protocol, covering client-server architecture, tool calling mechanisms, MCP server development, and remote deployment for standardized AI integration.