598 articles
TutorialsA complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
TutorialsBuild a full-stack blog in 50 minutes using Cursor IDE's multi-Agent mode with Next.js, Clerk auth, and Supabase. Learn the 4-phase AI Agent workflow and key integration pitfalls.
TutorialsCursor engineer Eric shares practical insights on building an AI software factory: automation levels, guardrail design, parallel Agent management, and scaling to 1000+ Agents for 24/7 development.
TutorialsIn-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
TutorialsA deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
TutorialsA complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
TutorialsDeep dive into Function Calling and MCP working principles through Cursor editor's system prompt analysis, comparing regular tools vs MCP tools and testing Agent capabilities across model sizes.
TutorialsRAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
TutorialsComplete guide to deploying Hermes Agent locally, covering WSL2 installation, Git setup, and DeepSeek model integration on Windows to build a self-learning open-source AI Agent.
TutorialsComplete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.
TutorialsDeep dive into how AI coding Skills work: from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
TutorialsDeep dive into how AI coding Skills work technically, from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
TutorialsDeep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
TutorialsA detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
TutorialsESP-IDF VS Code extension integrates Copilot Chat Agent mode, enabling natural language build, flash, and debug with AI-powered error analysis and fix suggestions.
TutorialsExplore MCP's three transport protocols — SSE, Streamable HTTP, and STDIO — their differences, use cases, and configuration tips for developers.
TutorialsA detailed guide to installing and configuring ByteDance's Trae AI coding IDE, covering setup, interface, and core features with hands-on examples for beginners.
TutorialsComplete guide to installing and configuring Claude Code, covering Node.js setup, npm installation, proxy configuration, and API key options for seamless AI coding.
TutorialsDeep dive into the technical differences between traditional RAG and Agentic RAG, covering offline/online pipeline principles, tool-based autonomous decision mechanisms, and a LangGraph-based Agentic RAG implementation via the ChatBox open-source project.
TutorialsDetailed guide to LangChain core modules including prompt templates, output parsers, Chain invocation, LCEL expression language, and LangSmith tracing tools for LLM application development.