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Agent DevTools is an open-source AI Agent debugging tool inspired by Browser DevTools, offering execution visualization, tool call tracing, and breakpoint analysis to help developers diagnose Agent failures.

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.

A complete workflow from Google I/O: use Antigravity, Modern Web Guidance, and Chrome DevTools MCP to build Chrome extensions automatically — from prompt to publish.

Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.

Chrome DevTools for Agents, unveiled at Google I/O, gives AI coding agents a closed feedback loop with Lighthouse audits, user input simulation, and device emulation.

Learn how to parallelize Cursor browser Workers from serial to parallel execution using distributed Worker pools, proxy pools, token bucket algorithms, and exponential backoff to compress 2000-3000 page scraping tasks from hours to 15-20 minutes.

Google's Gemini Spark now invokes Chrome's auto-browse to handle multi-step tasks like booking apartments and flights, evolving from chatbot to true AI agent.

BlackFlare is a native macOS menu bar app for Claude Code and Codex users. It keeps your Mac awake, sends task notifications, monitors usage, and switches configs—all running locally for privacy.

Notate is a new annotation tool that freezes fleeting UI states like hover effects and open menus, enables frame-by-frame animation debugging, and provides structured context for AI agents.

Deep dive into the verification browser for AI agents: how 13ms verification windows and one-call checks solve hallucination problems in browser automation, enabling the leap from capability to trustworthiness.

Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.

A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.

A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
Ego-lite: An Open-Source Browser Desig…
ego-lite is an open-source AI-native browser by citrolabs that lets humans and AI Agents work in parallel in the same environment. Explore its design and value.

A complete walkthrough of AI-assisted GeeTest four-image CAPTCHA reverse engineering: from capturing the w parameter to AI analyzing obfuscated code and generating runnable scripts in minutes.

A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.

OpenAI Codex is more than a coding tool—it's an AI agent that writes code, makes slides, and operates browsers. This guide covers its four versions, permission modes, plugins, automation, and six best practices.

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 complete walkthrough of building and launching a WeChat Mini Program using OpenAI Codex and ChatGPT — from AI prototyping to ICP filing. MVP delivered in 5 days, no coding required.

Can't code? Learn how to build a WeChat Mini Program financial management system from scratch using AI coding tool Codex — covering tool selection, OCR invoicing, iteration, and publishing.