#AI Chrome extension development
127 related articles
·3 min
Automating Chrome Extension Development with AI Coding Agents: Antigravity & DevTools MCP Complete Workflow
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.
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·2 min
AI-Powered Chrome Extension Development: A Complete Methodology from UI Design to Debugging
A proven methodology for AI-powered Chrome extension development: design UI panels with AI, generate code from mockups, and debug efficiently using the extension console.
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·3 min
tinbase: A Local Supabase Alternative That Runs as a Single Process
tinbase compresses Supabase's 12 Docker containers into a single process with real Postgres 17, Auth, Storage, and Realtime, supporting RLS and direct supabase-js calls—even runs in a browser.
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·3 min
Lamoom: An AI Agent Marketplace Where Apps Run in Your Own Claude Environment
Lamoom is an AI Agent marketplace where Agents run in users' own Claude environment with no data leaving their control. Developers can publish and monetize Agents per-run or via subscription, with $20 free credits for new users.
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·2 min
Aymo AI: Deep Dive into the Team Collaboration Platform Integrating 45+ Top AI Models
Aymo AI integrates 45+ major AI models like GPT, Claude, and Gemini into one secure workspace with side-by-side comparison, file chat, web search, and team collaboration to reduce multi-platform costs.
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·4 min
9 Hours, 4 Million Tokens: AI Creates a Stunning WebGPU Snow Rendering Masterpiece with Claude Code
Reddit user Noniv used Claude Code with the Opus model to build SNOWFLOW, a stunning WebGPU real-time snow renderer, in just 9 hours using 4 million tokens. A deep dive into prompt strategy, snow shaders, and performance optimization.
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·2 min
Chrome Web Store Review Approval Guide: Dead Code Cleanup and Packaging Best Practices
Chrome Web Store submission rejected? Learn how to pass review by cleaning dead code, removing node_modules from builds, and ensuring compliance with store policies.
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·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.
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·3 min
Pi Agent Configuration Guide: Building Your Own AI Coding Assistant
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.
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·3 min
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
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.
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·3 min
Installed Codex But Don't Know What to Build? Find Real Needs with the "Friction Point" Mindset
Installed Codex or Claude Code but don't know what to build? This real-world browser extension case reveals the core methodology of the AI coding era: start from your own and others' "friction points" to find projects worth doing.
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·3 min
Got Codex but Don't Know What to Build? Use 'Friction Point Thinking' to Find Real Needs
Installed Codex or Claude Code but don't know what to build? This hands-on browser extension case reveals the core methodology of the AI coding era: start from your own and others' 'friction points' to find worthwhile projects.
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·7 min
Getting Started with Codex: Installation and Usage Guide for OpenAI's AI Coding Agent
A comprehensive guide to OpenAI's new AI coding agent Codex: from concept and comparison of its four forms, to installing Git/Node.js/VS Code, configuring the API Key, and creating a workspace.
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·2 min
New Lighthouse Audit: Getting Your Website Ready for AI Agents
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.
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Goku: A Browser-Based LLM Inference En…
·2 min
Goku: A Browser-Based LLM Inference Engine and Model Manager Built on WebAssembly
Goku is a browser-based LLM inference engine built on WebAssembly and wllama, enabling local AI inference, model management, and offline use — no cloud API needed.
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·7 min
Claude Code Practical Tutorial: A Complete Beginner's Guide to Automating Your Entire Workflow
No coding required! This guide breaks down the complete Claude workflow: custom Projects, batch SEO content, one-sentence tool building with Artifacts, and Claude Code terminal ops—with real traffic-growth cases.
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·4 min
WebMCP in Practice: A Complete Guide to Making Your Website AI Agent-Ready
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.
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·2 min
Chrome DevTools for Agents: The Closed-Loop Debugging Powerhouse for AI Coding Agents
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.
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·3 min
Modern Web Guidance: Getting AI to Generate Better Front-End Code
Google Developer Expert Raudy shares Modern Web Guidance at Google I/O Connect Berlin: a framework steering AI coding assistants to use native HTML/CSS over outdated JavaScript patterns.
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·3 min
Complete Guide to Subscribing to Claude in China Without Getting Banned: Three Approaches Compared
Worried about getting your Claude account banned in China? This guide breaks down Anthropic's ban logic and compares three safe approaches: third-party subscriptions, official API, and relay services.
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