一种前端开发优化方法及系统
By optimizing front-end development through dynamic feature encoding and service weight allocation models, a cross-platform incremental update instruction set is generated, which solves the problems of cross-platform compatibility and performance optimization in traditional front-end development, and achieves consistent content presentation and efficient resource management across multiple terminals.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU PYROXENE TECHNOLOGY DEVELOPMENT CO LTD
- Filing Date
- 2025-11-19
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional front-end development methods face significant challenges in cross-platform compatibility, performance optimization, and dynamic content updates, leading to code redundancy, increased maintenance costs, difficulty in ensuring visual consistency across different devices, and a lack of effective handling of cross-platform differences by existing incremental update technologies, which can easily cause compatibility issues.
A unique dynamic route identifier is generated through a dynamic feature encoding algorithm. Modular binding is performed based on a service weight allocation model. A decision tree with unified rendering rules is constructed. Difference-driven incremental compilation technology is used to dynamically synchronize cross-platform rendering component sets. Resource loading is optimized according to the performance parameters of the terminal's operating environment to eliminate cross-terminal compatibility conflicts and achieve consistent content presentation across multiple terminals.
The system systematically solves the problems of multi-terminal adaptation, performance optimization and real-time updates, improves front-end development efficiency, and ensures visual consistency and reasonable resource allocation across different devices and operating scenarios.
Smart Images

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