--- title: "Front-End-Checklist" type: "tool" slug: "thedaviddias-front-end-checklist" canonical_url: "https://www.graphcanon.com/tools/thedaviddias-front-end-checklist" github_url: "https://github.com/thedaviddias/Front-End-Checklist" homepage_url: "https://frontendchecklist.io" stars: 73146 forks: 6646 primary_language: "MDX" license: null categories: ["developer-tools"] tags: ["front-end-development", "web-development", "guidelines", "ai-agent"] updated_at: "2026-07-07T18:59:56.255827+00:00" --- # Front-End-Checklist > The essential checklist for modern web development, for humans and AI agents A comprehensive front-end quality system that turns best practices into a review workflow. ## Facts - Repository: https://github.com/thedaviddias/Front-End-Checklist - Homepage: https://frontendchecklist.io - Stars: 73,146 · Forks: 6,646 · Open issues: 3 · Watchers: 1,424 - Primary language: MDX - Last pushed: 2026-06-18T03:46:44+00:00 ## Categories - [Developer Tools](/categories/developer-tools.md) ## Tags front-end-development, web-development, guidelines, ai-agent ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [browser-use](/tools/browser-use-browser-use.md) - 🌐 Make websites accessible for AI agents. 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It turns front-end best practices into a practical review workflow you can browse on the web, run through with MCP-compatible tools, or work through directly in this README. - Website: [frontendchecklist.io](https://frontendchecklist.io) - Rules: [frontendchecklist.io/rules](https://frontendchecklist.io/rules) - MCP server: [mcp.frontendchecklist.io](https://mcp.frontendchecklist.io) Companion project: [UX Patterns for Devs](https://uxpatterns.dev/) helps developers choose the right UI pattern before using Front-End Checklist to verify implementation quality. > [!IMPORTANT] > Use the website for browsing and filtering, the MCP server for agent workflows, and this README when you want the checklist in one place. ## What you get - `385` English rules across `11` active categories - `11` MCP tools exposed by the hosted server - Rule pages with explanations, remediation guidance, and verification steps ## How to use this checklist 1. Start with the category navigator below and jump straight to the part of the checklist you need. 2. Work through the checkbox items that apply to your project, audit, or pull request. 3. Open the linked rule pages when you need the full guidance, examples, verification steps, and AI prompts. 4. Use [frontendchecklist.io](https://frontendchecklist.io) for interactive browsing, and [mcp.frontendchecklist.io](https://mcp.frontendchecklist.io) when you want agents to use the same rule corpus directly. ## Priority legend - ![Critical][critical_img] means site-breaking, compliance-sensitive, or security-sensitive issues that should be fixed first. - ![High][high_img] means issues with major impact on user experience, accessibility, performance, or discoverability. - ![Medium][medium_img] means strong best practices that should be part of normal frontend quality review. - ![Low][low_img] means useful improvements that are situational or lower urgency. ## Choose your workflow ### Browse online - Explore all rules at [frontendchecklist.io/rules](https://frontendchecklist.io/rules) - Use curated checklists at [frontendchecklist.io/checklists](https://frontendchecklist.io/checklists) - Open a category page for focused audits and implementation guidance ### Choose the right pattern first Front-End Checklist helps you review implementation quality. If you are still deciding what interface to build, use [UX Patterns for Devs](https://uxpatterns.dev/) to compare common UI patterns, understand tradeoffs, and find practical guidance for forms, navigation, data display, feedback states, authentication, and AI interfaces. ### Contribute to the checklist - Install dependencies: `pnpm install` - Run local development: `pnpm dev` - Validate structure: `pnpm validate:rule-structure` - Score the corpus: `pnpm score:rules` - Regenerate derived artifacts: `pnpm generate:skills` and `pnpm generate:readme` ## Use with MCP Connect an MCP-capable agent to Front-End Checklist for frontend code review, structured rule lookup, audits, and remediation workflows across React, Next.js, HTML, CSS, JavaScript, accessibility, performance, SEO, security, images, privacy, i18n, and testing. > [!TIP] > Best first use: point an MCP-capable agent at a real component, page, or public URL and explicitly ask it to use the Front-End Checklist MCP for the highest-confidence frontend findings first. Some clients discover installed MCP tools lazily, so naming the server in the prompt helps. - Public endpoint: [mcp.frontendchecklist.io](https://mcp.frontendchecklist.io) - Public docs: [frontendchecklist.io/mcp](https://frontendchecklist.io/mcp) - Local/editor integration: stdio server at [`packages/mcp/src/cli.ts`](packages/mcp/src/cli.ts) What you can do: - Review pasted code or file contents against the checklist - Audit a live public URL - Fetch a specific rule with remediation guidance - Search rules by keyword, ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/thedaviddias-front-end-checklist`](/api/graphcanon/tools/thedaviddias-front-end-checklist) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_