Skip to content
AI Tool

Front-End-Checklist Review

Front-End-Checklist is a comprehensive, technology-agnostic checklist of best practices for frontend developers to ensure quality, performance, and accessibility of web projects.

shipped Jun 3, 2026aifreemium
Front-End-Checklist - AI tool
1Originally created in 2017 by David Dias, the project's GitHub repository gained over 10,000 stars within two weeks of its launch.
2It integrates AI capabilities via the Model Context Protocol (MCP), enabling structured AI reviews with tools like Claude and Cursor.
3The checklist provides hundreds of categorized rules covering HTML, CSS, JavaScript, Performance, Accessibility, SEO, and Security.
4Used by thousands of developers worldwide, it offers priority levels (High, Medium, Low) for each item.

Front-End-Checklist at a Glance

Best For
Frontend developers, web developers, and AI practitioners.
Pricing
freemium
Key Features
Hundreds of frontend development rules, Organized by category, Filter by priority, Search the corpus, Use standards for human and AI reviews
Alternatives
Kombai, Cursor, GitHub Copilot, Modern Web Guidance (Google Chrome)

About Front-End-Checklist

Platforms
Web
Target Audience
Frontend developers, web developers, and AI practitioners.

Leadership

David Dias

Similar Tools

Compare Alternatives

Other tools you might consider

Connect

𝕏
X / Twitter@thedaviddias
</>Embed "Featured on Stork" Badge
Badge previewBadge preview light
<a href="https://www.stork.ai/en/front-end-checklist" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/front-end-checklist?style=dark" alt="Front-End-Checklist - Featured on Stork.ai" height="36" /></a>
[![Front-End-Checklist - Featured on Stork.ai](https://www.stork.ai/api/badge/front-end-checklist?style=dark)](https://www.stork.ai/en/front-end-checklist)

overview

What is Front-End-Checklist?

Front-End-Checklist is a web development best practices tool developed by David Dias that enables frontend developers, web developers, and AI practitioners to ensure the quality, performance, and accessibility of web projects. It provides a comprehensive, technology-agnostic checklist for modern web development, facilitating both human and AI-assisted audits. The tool offers an exhaustive list of elements and best practices, categorized by areas such as Head, HTML, Webfonts, CSS, JavaScript, Images, Accessibility, Performance, and SEO. Each item is assigned a priority level (High, Medium, Low) to indicate its importance and potential impact if omitted. Main use cases include pre-launch validation, serving as a structured guide for code reviews, acting as a learning and reference resource for developers, and aiding in project planning by defining quality standards.

quick facts

Quick Facts

AttributeValue
DeveloperDavid Dias
Business ModelFreemium (open-source core)
PricingFree (open-source core)
PlatformsWeb
IntegrationsClaude, Cursor (via Model Context Protocol)
Founded2017

features

Key Features of Front-End-Checklist

Front-End-Checklist offers a robust set of features designed to streamline web development quality assurance and adherence to best practices. Its structured approach supports both individual developers and collaborative teams, including integration with modern AI workflows.

  • 1Provides hundreds of frontend development rules covering HTML, CSS, JavaScript, Performance, Accessibility, SEO, and Security.
  • 2Rules are organized by category for intuitive navigation and application.
  • 3Allows users to filter checklist items by priority levels: High, Medium, and Low.
  • 4Includes a search functionality to quickly locate specific rules or best practices within the corpus.
  • 5Supports structured reviews for human development teams, ensuring consistency and quality.
  • 6Integrates with AI agents, such as Claude and Cursor, via the Model Context Protocol (MCP) for AI-assisted code reviews.
  • 7Offers detailed code snippets and documentation for each checkpoint, aiding in implementation and understanding.
  • 8Enables tracking of progress through the checklist and generation of reports for quality assurance.
  • 9Aids in ensuring cross-browser compatibility and implementing security best practices.
  • 10Facilitates comprehensive testing and debugging processes by highlighting critical areas.

use cases

Who Should Use Front-End-Checklist?

Front-End-Checklist is designed for a broad audience within the web development ecosystem, providing value across various stages of a project lifecycle and for different levels of expertise.

  • 1Frontend Developers: For pre-launch validation, ensuring all necessary aspects of front-end development are covered before deploying a website to production.
  • 2Programmers and Web Developers: As a structured guide for conducting code reviews, helping teams maintain quality, consistency, and adherence to modern web standards.
  • 3Junior Developers: Serves as a valuable learning and reference resource to understand and implement modern web development best practices and standards.
  • 4Project Teams: Utilized for project planning, enabling teams to define deliverables and agree on quality standards at the inception of a project.
  • 5AI Practitioners: To ground AI agents in established web development best practices, facilitating structured AI-assisted audits and code reviews via the Model Context Protocol (MCP).

pricing

Front-End-Checklist Pricing & Plans

The Front-End-Checklist operates on a freemium model. Its core checklist, available as an open-source project, is free to use and provides hundreds of rules for web development. The project is open-source, allowing developers to access and contribute to its codebase without cost. While the official website indicates ongoing development and states it is "currently in beta" with "some issues still being fixed," the primary offering remains freely accessible. The integration with AI tools via the Model Context Protocol (MCP) leverages this free content to enable AI-assisted audits, with potential future premium features or services not explicitly detailed as of the current information.

  • 1Free Tier: Access to the comprehensive, open-source checklist, including hundreds of rules, categorized organization, priority filtering, search functionality, and documentation.

competitors

Front-End-Checklist vs Competitors

Front-End-Checklist differentiates itself as a comprehensive, human-readable guide to best practices, rather than solely an automated auditing tool. While it references and integrates with various testing tools, its primary offering is the structured checklist itself. Its recent integration with AI tools via the Model Context Protocol (MCP) provides a competitive edge by allowing direct incorporation into AI-assisted development workflows.

1
Kombai

Kombai converts Figma designs into production-grade front-end code while applying built-in best practices for over 400 front-end libraries.

Unlike Front-End-Checklist which provides a general checklist, Kombai actively generates code adhering to best practices, making it an automated enforcer rather than a passive guide. It offers a free trial.

2

Cursor is an AI-first code editor that understands your entire codebase for context-aware code generation, refactoring, and debugging.

While Front-End-Checklist offers a static or interactive guide, Cursor integrates AI directly into the coding environment to actively assist with code quality, refactoring, and adherence to best practices across multiple files. It operates on a freemium model.

3

GitHub Copilot is an AI pair programmer that provides real-time code suggestions and completions directly within the IDE.

Front-End-Checklist provides a structured list of best practices, whereas GitHub Copilot offers dynamic, context-aware code suggestions that can help developers write code that aligns with best practices and can be augmented with external guidance. It has a paid subscription model, with a free trial available.

4
Modern Web Guidance (Google Chrome)

This initiative embeds web platform expertise, best practices, and browser compatibility data directly into various AI coding agents.

Front-End-Checklist is a standalone checklist for humans and AI agents, while Modern Web Guidance acts as a 'skill' or plugin that enhances existing AI coding agents with specific web development best practices and compatibility data. It is free to use as a skill for other agents.

Frequently Asked Questions

+What is Front-End-Checklist?

Front-End-Checklist is a web development best practices tool developed by David Dias that enables frontend developers, web developers, and AI practitioners to ensure the quality, performance, and accessibility of web projects. It provides a comprehensive, technology-agnostic checklist for modern web development, facilitating both human and AI-assisted audits.

+Is Front-End-Checklist free?

Yes, the core Front-End-Checklist is free to use and is an open-source project. It operates on a freemium model, with its comprehensive checklist content freely accessible, though potential future premium features or services are not explicitly detailed.

+What are the main features of Front-End-Checklist?

Key features include hundreds of categorized frontend development rules, filtering by priority (High, Medium, Low), search functionality, support for human and AI reviews via the Model Context Protocol (MCP), detailed code snippets, and the ability to track progress and generate reports.

+Who should use Front-End-Checklist?

Front-End-Checklist is primarily intended for frontend developers, programmers, and web developers for pre-launch validation, code reviews, and as a learning resource. It is also valuable for project teams in planning and for AI practitioners to ground AI agents in web development best practices.

+How does Front-End-Checklist compare to alternatives?

Front-End-Checklist differentiates itself as a comprehensive, human-readable guide, unlike automated code generators like Kombai or AI-first code editors like Cursor and GitHub Copilot. It complements automated auditing tools like Google Lighthouse by providing the underlying best practices, and its AI integration via MCP offers a unique edge over general web guidance initiatives.

For builders

This page is doing a job for someone else’s tool.

AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.