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Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.
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Learn how to connect Claude Code to DeepSeek LLM for AI-driven testing. Covers Terminal vs Device Agents, Node.js setup, Claude Code installation, and DeepSeek integration.
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OpenAI announces ChatGPT, Codex, and Responses API now support private MCP servers, enabling secure enterprise intranet AI integration via outbound-only HTTPS.
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.
TutorialsExplore MCP's three transport protocols — SSE, Streamable HTTP, and STDIO — their differences, use cases, and configuration tips for developers.
TutorialsLearn how MCP servers work in Gemini CLI and how to configure them. Step-by-step guide using Context7 and Firebase extensions to expand AI coding capabilities.
Product ReviewsDeep dive into Athas IDE — a free, open-source AI code editor built from scratch on Tauri. Features Vim mode, AI completion, Git integration, and free Google Gemini support.
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 and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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.
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.
Deep DivesDeep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
Deep DivesDeep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
TutorialsA detailed guide to MCP (Model Context Protocol) in Claude Code, covering server setup, three scope configurations, context window optimization, CLI alternatives, and Skills best practices.
TutorialsA complete workflow for collaborative UE5 development using DeepSeek multi-Agent matrix and UE5.8 official MCP, covering pure C++ architecture, agent roles, cache optimization, and automated code review.