Comparing AI Coding Tools for Chrome Extension Development
Testing Claude Code, Codex, and Antigravity to build a functional screenshot tool.
1Practical AI Coding Test
Yash Patel evaluated three AI coding tools—Claude Code, Codex, and Google Antigravity—by tasking them to build a complex Chrome extension named SnapNest. The project required offline functionality, screenshot beautification, and annotation tools. Unlike standard benchmarks, this test focused on real-world usability, interface design, and the overall quality of the generated code.
2Codex Performance Limitations
Using the Luna 6 model, Codex successfully implemented core features but struggled with user interface design. The extension suffered from tiny fonts and an unappealing color scheme. Furthermore, the side-panel layout made navigation confusing, and the annotation tools lacked necessary customization, rendering the numbered steps feature difficult to use in practical scenarios.
3Antigravity Layout Strengths
Powered by Gemini 3.8 Flash, Google Antigravity offered superior organization and a more intuitive editor layout compared to Codex. While it supported diverse export formats like PDF and WebP, the annotation workflow felt outdated. It relied on old-fashioned JavaScript prompt dialog boxes for text entry, which hindered the overall user experience significantly.
4Claude Code Superiority
Claude Code, utilizing the Claude Opus 5.5 model, emerged as the clear winner by delivering a polished and functional product. It featured well-thought-out navigation, effective annotation sizing, and a useful preset system for saving styles. The blur effect produced cleaner results, demonstrating a higher level of refinement than the competing AI tools.
5Development Speed Comparison
While development speed varied, it was not the primary differentiator in this assessment. Google Antigravity completed the task the fastest, whereas Claude Code required the most time. However, the marginal time difference was outweighed by the superior quality and usability of the final extension produced by the Claude Code platform.
6Usability and Design Nuances
The comparison highlighted that functional code does not always equate to a usable product. Codex and Antigravity both struggled with interface ergonomics, such as poor font scaling and clunky input methods. Claude Code succeeded by prioritizing intuitive control placement and providing better visual feedback for features like numbered annotations and background blurring.
7Export Functionality Analysis
Export capabilities varied across the three tools, impacting workflow efficiency. Antigravity provided a convenient consolidated menu for multiple formats, whereas Claude Code placed PDF exports in a separate location. Despite this minor organizational flaw, Claude Code remained the most reliable option for users requiring consistent, high-quality output for their screenshot editing tasks.
8Final Verdict on Tools
For developers seeking a balance between functionality and user experience, Claude Code is the recommended choice. While all three models successfully generated code, the practical refinements in Claude Code’s output significantly reduced post-development adjustments. Future projects will likely benefit from its superior handling of complex UI requirements and better annotation logic.
Original article: XDA Developers — Comparing AI Coding Tools for Chrome Extension Development