32 related articles

A detailed guide to Google's WebMCP standard proposal, covering imperative and declarative tool building, smart home and car configuration demos, and Chrome DevTools debugging for AI agent tools.
The Rise of Claude Skills Ecosystem: A…
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.

Starting with Chrome 150, Google's Lighthouse introduces an Agentic Browsing audit checking Accessibility Tree structure, WebMCP schema validity, and CLS to help developers assess AI agent readiness.

A deep dive into the WebMCP proposal: how AI agents read websites, how to expose structured tools via imperative and declarative APIs, and how to audit agentic readiness with Lighthouse.

A Reddit user's real experience with Perplexity Max ($200/month): 15,000 credits burned on one task, failed Grok integration, and complex MCP setup. Is it worth it?

Perplexity Max users find monthly credits slashed from 40,000 to 10,000 with no notice. We break down why, how Agent features drain credits, and what paid users should do.

OpenAI launches the GPT-5.6 family—Sol, Terra, and Luna—alongside ChatGPT Work, a new desktop app, and Sites. AI evolves from a chat tool into a true productivity partner, completing financial analysis, presentations, and cross-platform collaboration in one operation.

OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.

OpenAI launches GPT-5.6 with three models — Sol, Terra, and Luna — plus ChatGPT Work, a new desktop app, and Hosted Sites. Codex now autonomously trains models.

Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.

A step-by-step guide to building a personal brand website with Claude Code AI and deploying it on a ¥99 Alibaba Cloud server — covering Git, Nginx, and automation scripts.

A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.

A complete guide to Claude Code's five core session management features: resume, naming, browsing, branching, and export. Master shortcuts and context management for an efficient AI coding workflow.

Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.

Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.

Complete guide to Claude Code + Opus setup via CCSwitch for unified model management. Real-world case: payment system built in 4 hours with zero hand-written code, covering installation, Prompt engineering, and model selection.

Andrew Ng and Anthropic launch a Claude Code course covering context management, parallel sessions, MCP server integration, and hands-on projects in RAG, data analysis, and Figma-to-code conversion.

DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.

Five common Claude Code mistakes developers make: copy-pasting code, skipping CLAUDE.md, inefficient prompting, ignoring docs, and poor context management — with fixes.

A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.