Front-End Checklist
350+ front-end quality rules for humans and AI agents, covering launch, accessibility, performance, security, and SEO.
How the 8.8 was reached
- Quality of output8/10
74,304 GitHub stars, 6,753 forks and only 11 open issues, with a push in August 2026, show heavy adoption and active maintenance. github.com
- Ease of use9/10
Free, MIT-licensed, interactive web interface needing no install, plus guides and an MCP server. frontendchecklist.io
- Pricing value10/10
Core checklist is free forever for individuals with free team collaboration; open source MIT. frontendchecklist.io
- API and integration qualityn/a
A curated checklist, not software that runs in a workflow (MCP server is an optional extra).
- Solves the problem it claims to solve8/10
Covers accessibility, performance, security, SEO and more with 350+ rules; large GitHub adoption backs it as a trusted reference. github.com
8.8/10 is the mean of the 4 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- 350+ rules across 11 categories
- Curated checklists
- MCP server integration
- GitHub-backed open source
Key Features
- 350+ rules across accessibility, HTML, CSS, JavaScript, performance, security, SEO, and more
- Curated ready-made checklists for launch, junior dev review, and AI-assisted audits
- MCP server for structured AI code reviews via Claude and other agents
- Progress tracking per checklist run
- Organized by category with guided workflows
Pros & Cons
Pros
- Completely free and open source (73k+ GitHub stars)
- MCP integration makes it immediately useful inside AI coding workflows
- Comprehensive coverage across 11 front-end domains in one place
- Curated checklists reduce decision fatigue for common scenarios
Cons
- Currently in beta — some rough edges reported
- No team collaboration or saved-state syncing across sessions
- Rules are opinionated defaults; limited customization of rule sets
- No CI/CD integration or automated scanning — purely manual/AI-guided
Front-End Checklist is the go-to reference for web quality hygiene, now extended with an MCP server that plugs its 350+ rules directly into AI coding agents. It's free, battle-tested, and genuinely useful for pre-launch audits — the beta web app adds interactivity but the real value is the curated rule corpus itself.
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