I Tested Claude Code Against 7 AI Coding Tools on the Same Website — The Deep Audit Changed the Rankings [PAID]
Claude Code, Cursor, v0, Lovable, Bolt, Replit, Firebase, and Gemini CLI on the same spec. 3-stage evaluation. One crashed. All 8 failed social SEO.
Choosing between Claude Code, Cursor, v0, Lovable, or Bolt for a real website build? Every comparison you’ll find online stops at the demo. This is a full 3-stage evaluation of 8 major AI coding tools — given the same 12-section website spec on the same day — covering build speed, design accuracy, performance, SEO, accessibility, and code architecture. The scorecard, the surprising failures, the decision guide, and the audit system you can run on your own build are all here.

Anyone can build a landing page with an AI tool in 3 minutes now. The sections are there. The colors look right. You feel more capable than ever, and honestly, it’s exciting.
Then you open it again. There’s a mismatch you didn’t catch in the preview. The code gets messy when you try to change something. A feature doesn’t work the way you expected. The build that looked production-ready in the demo... isn’t.
So many AI coding tools promise exactly that, production-ready, in minutes. But does the output look the way you wanted? Is one tool genuinely better than another? And if you’ve already started building with one, should you stick or switch to the one showing up in everyone’s feed?
Once you've landed on a tool, the next question is which plugins and extensions to add — Stop Installing Every Claude Code Plugin runs 11 of them on real work and gives you a scorecard for judging any new one.
I couldn’t find an article that answered this fully. Not just which tool is fastest, but whether the builds hold up under a real audit. How each tool actually shines. Where each one quietly falls apart. Whether they can generate consistently good output, or whether “good” just means “good in the demo.”
So I turned a real project into the test.
I was building a partnership website with James Presbitero: Unpromptable Assets, a consulting landing page. Instead of picking my usual tools and moving on, I decided to run the same spec across all eight major AI coding tools on the same day. I normally build in Claude Code or Cursor. But I’ve always been impressed by how Lovable handles UI, and Gemini CLI was something I’d been genuinely curious about. Google’s AI builder was new and worth a real look. This was the right project to find out where each one actually lands.
The test ran in three stages: build race, visual audit, deep technical audit.
Every tool completed all 12 sections of the spec. Every build ran without errors on first pass. Stage 1 (the build race) is where every tool looks capable.
Stage 3 is where one platform’s page crashed on load. Where three tools shipped with no mobile navigation at all. Where every single platform failed to produce correct social sharing metadata. This pattern has a name: 73% of AI-generated apps never reach production because the demo and the production build are two different things.
The final scorecard is right here. Stage 1 results are free. The full visual and technical audit, which tools actually hold up, where each one fails, and the audit system to run on whatever you’re already building with, is what this article delivers.
Here’s where all eight landed:

CLI tools claimed the top two spots. The best browser platform (v0) sits just behind at 3.95. Bolt’s Stage 2 visual score was 3.8, Stage 3 found a page-crashing bug.
⚠️ Firebase Studio update: Google announced it will be sunset on March 22, 2027. Scores reflect the tool as tested in March 2026.
What you’ll go through with me:
- The coding ecosystem — who’s in this test and what separates the two categories
- The test design — the exact spec used across all 8 platforms, and why copying its structure makes any build more auditable
- Stage 1: The build race — where every tool looks capable, and why this is the most misleading stage
- Stage 2: Visual audit — full design scores + a 2-minute visual checklist for any build you’ve already shipped
- Stage 3: Deep technical audit — the specific failures, what’s critical vs. what to cut loose, and the self-evaluation prompts to audit your own build
- Which tool for which builder — your tool in one paragraph: what it’s actually good for, where it fails, and the one or two fixes that close the gap
🎁 The spec prompt, audit priority checklist, and self-evaluation prompts are available as a free download at the resources page.
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