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Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

Complete guide to OpenAI Codex setup: CLI installation, VS Code extension config, Agents.md best practices, MCP integration, and programmatic usage for efficient AI coding workflows.

A detailed guide to Hermes Agent's seven-layer configuration: VPS deployment, Discord integration, scheduled backups, Kanban management, holographic memory, and MCP server setup.
Andrew Ng Partners with Google to Laun…
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.
Claude Code Complete Tutorial: Best Pr…
DeepLearning.ai and Anthropic's joint Claude Code course covers architecture, parallel development, and MCP server integration. From RAG chatbots to Figma-to-code workflows, master AI coding assistant best practices.
The Right Way to Use Claude Code Sub-A…
Deep dive into Claude Code Sub-Agent mechanics: from 5 built-in Agents to custom configs, comparing ECC, Superpowers, and GizTech community solutions.
4 Must-Change Claude Code Settings Tha…
4 essential Claude Code settings: bypass permissions, keep chat history forever, understand MCP merge rules, trim global Skills to 7. Save 6% context window and boost your workflow.
Save 80% Tokens with Claude Code: Head…
Deep comparison of Headroom, RTK, and LinCTX—three open-source context compression tools. Real tests show 80% token savings in Claude Code sessions.
Connecting Claude Code to DeepSeek: A …
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.
Reasonix: A Coding Agent Optimized for…
Deep dive into Reasonix coding agent: how it achieves 99% DeepSeek cache hit rate, cutting API costs to 1%. Covers setup, four conversation modes, MCP support, and more.
How to Configure DeepSeek in Claude Co…
Learn how to configure DeepSeek V4 Pro in Claude Code using CcSwitch. Complete setup in 3 steps with one-click AI model switching to reduce API costs.
What Is Claude Code? Key Differences f…
Deep dive into Claude Code's core advantages: automatic project code reading, local execution, persistent memory. Compare with regular AI chat and Cursor to find your ideal AI coding assistant.
Claude Code Installation & Setup Guide…
Step-by-step guide to installing and configuring Claude Code, covering Git/Node.js prerequisites, environment variables, and connecting domestic LLMs to build an AI assistant that reads, writes, and executes code.
AI Agent Core Architecture Explained: …
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
MCP Protocol Deep Dive: The Core Mecha…
Deep dive into the MCP protocol's architecture, server types, scope modes, and context window optimization strategies for configuring Claude Code's external tool connections.
DeepSeek-TUI: Five Core Capabilities o…
Deep dive into DeepSeek-TUI's five core capabilities: TUI interface, reasoning display, auto model selection, million-token context, and session rollback. Compare with Claude Code and Codex.
Codex Beginner's Guide: Lessons Learne…
Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.
Google Agent Skills Library Hands-On: …
Hands-on review of Google's open-source Agent Skills library: how 12 Skills improve AI-generated UI quality, configuration pitfalls, and the strategic significance of standardizing Agent Skills.

OpenAI announces ChatGPT, Codex, and Responses API now support private MCP servers, enabling secure enterprise intranet AI integration via outbound-only HTTPS.

Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.