Comparative Review of AI Developer Tools: Claude Code, Codex, and Google Antigravity
I created a complex website using Claude Code, Codex, and Google Antigravity, and only one of them behaved like a senior developer
Xda-developers
Image: Xda-developers
A review of three AI coding tools—Claude Code, Codex, and Google Antigravity—reveals their strengths and weaknesses in building a complex multi-page website for a luxury architectural firm. Claude Code excelled in engineering and detail, while Antigravity impressed with speed and visuals, and Codex lagged behind with basic outputs.
- 01Codex struggled with latency and produced a basic wireframe lacking visual polish, earning a low score.
- 02Google Antigravity 2.0 delivered a premium visual experience with smooth animations, but had minor layout issues.
- 03Claude Code demonstrated superior engineering skills, with attention to detail and semantic HTML, earning the highest score.
- 04Antigravity's interface was revamped to improve user experience, resembling Claude Code and Codex.
- 05The review highlights the importance of both visual design and technical execution in web development.
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In a comparative analysis of three AI coding tools—Claude Code, Codex, and Google Antigravity—each was tasked with creating a multi-page website for a luxury architectural firm named 'Rajhans.' Codex, despite being set to maximum settings, delivered a basic wireframe lacking visual detail and sophistication, earning a low score due to its slow performance and minimal output. Google Antigravity 2.0, powered by the Gemini 3.5 engine, provided a faster experience and produced a visually appealing black-and-gold theme, though it had some layout issues. Claude Code (Opus 4.8) stood out as the most effective tool, demonstrating a deep understanding of design principles and technical execution, resulting in a premium, image-centric website. While it had minor issues with asset choices, its attention to detail and adherence to semantic HTML earned it the highest score of 9 out of 10, showcasing the significant differences in capabilities among AI developer tools.
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