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In the AI era, Qunar's front‑end tech director presents how D2C and large‑model‑based code generation dramatically improve front‑end productivity across three business scenarios, achieving up to 55% automated code coverage for both C‑end and B‑end applications.
The 2023 frontend review highlights TypeScript’s size and speed gains, ECMAScript 2023 features, evolving frameworks like React, Vue, Svelte, Angular and emerging Qwik, while Rust tooling, Bun, browser changes, AI‑driven low‑code, and WASM progress set the stage for 2024’s LLM‑powered, Rust‑centric, cross‑platform development.
Since 2021, NetEase Cloud Music’s Design Platform has evolved its design‑frontend workflow through three stages—engineering phase 1.0, phase 2.0, and the AI‑driven intelligent phase—by introducing the C2D2C (Code‑to‑Design‑to‑Code) methodology, unified design systems, LLM‑enhanced code, and generative AI tools, cutting communication overhead and boosting designer and developer productivity by up to 200 %.
NetEase Cloud Music’s GMTC talk unveils C2D2C—a lossless design‑development workflow that treats code as a shared language, letting designers export layer data and component metadata via Sketch/Figma plugins, which developers convert back into code, boosting designer efficiency by 25%, developer efficiency by 33%, and overall collaboration by 38% across major product scenarios.
Vivo’s frontend team built a self‑attention‑based machine‑learning model that predicts web‑page layout types (column, row, or absolute) from node dimensions and positions, solving parent‑child and sibling relationships for design‑to‑code conversion, achieving 99.4% accuracy using over 20 k labeled, crawled, and generated samples, while outlining further enhancements.