Imgcook 3.0 Series: How Does Design-based Code Generation Recognize Components?

This post describes how imgcook recognizes design components and expresses them with front-end components for intelligent code generation.

Imgcook 3.0 Series: Layout Algorithm – Design-based Code Generation

This blog discusses in depth about layout algorithms used by imgcook, focusing on page splitting, loop, and multi-status identification.

Imgcook 3.0 Series: Semantic Analysis of Fields

This article introduces the concept of semantics in D2C and elaborates further on various semantic decision models based on reinforcement learning and text classification.

Imgcook 3.0 Series: How Does Design-based Code Generation Recognize Icons?

This article will describe how imgcook optimizes data and model by building a complete closed-loop procedure for the icon model.

Intelligently Generate Frontend Code from Design Files: imgcook

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

AI Supports Automatic Generation of 90.4% of Frontend Modules during Double 11

This article discusses our ideas about AI in the frontend field and efforts to implement code intelligent generation.

Information Input Considerations for Intelligently Generating Frontend Code

This article focuses on ways to obtain information and how imgcook has helped on the journey of generating more accurate code.

Do Alibaba's Frontend Developers Slice Images? No, it‘s Done by AI

This article explains the importance of frontend intelligence and how it will improve development efficiency.