Complex Application Performance Optimization Guide
When using Claudable to build applications that contain large amounts of data and complex interactions, the following strategies can be used to ensure performance:
Architecture design optimization:
- Modular Development Instructions: Split the project into
前端界面,API路由cap (a poem)数据库结构describe sth. separately - Selective page rendering: Explicitly use ISR (incremental static regeneration) or SSR (server-side rendering) of Next.js in requirements
- Streamlining initial loading: Optimize first-screen performance with commands such as "Enable on-demand loading of JavaScript modules".
Resource allocation skills:
- Database Optimization: Creating suitable indexes in Supabase and generating optimized SQL queries with AI commands
- Resource hosting: Hosting static resources on the Vercel edge network
- caching strategy: Clearly describe the API endpoints and duration that need to be cached
Important: Use Lighthouse to analyze performance metrics on a regular basis and feed the results back to the AI for iterative optimization.
This answer comes from the articleClaudable: generating and deploying websites using AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to overcome performance bottlenecks in building complex applications with Claudable?
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