A Systematic Approach to Improving AI Code Usability
Traditional AI-generated code often suffers from chaotic structure, poor compatibility and other problems, Readdy optimizes code quality through a triple guarantee mechanism:
- Semanticized tagging system: The generated HTML code strictly follows W3C standards, and all containers are tagged with role attributes and ARIA tags to ensure accessibility
- Adaptive Code Architecture: CSS part of the Flexbox + Grid dual layout scheme, the default contains media query breakpoints, adapted to mobile display
- Modular Component Design: Split the page into reusable components (navigation bar, cards, etc.), each containing independent styles and scopes
Handling skills:
1. Select the "commented version" when exporting, and include the development guidelines in the code.
2. Use the built-in "code validation" feature to check browser compatibility
3. Complex requirements can be generated in modules (e.g., navigation bar and then content area).
Advanced Solution: With Enterprise Edition users get access to code quality reports with performance scores and optimization recommendations.
This answer comes from the articleReaddy: AI tool for automatic generation of page designs and front-end codeThe
May not be reproduced without permission:AI productivity tools " How to optimize the usability of AI-generated front-end code to avoid the need for extensive manual modifications?
