How AI Is Transforming Frontend Development: Highlights from Kuaishou’s Tech Salon

On August 16, Kuashou hosted the "AI‑Driven Frontend Technology Evolution" tech salon in Beijing, attracting over 300 on‑site participants and a live‑stream peak of 46,000 viewers. Experts from Kuaishou, Huawei, Xiaohongshu and others shared how AI is reshaping large‑scale front‑end development.

Key AI‑enabled initiatives at Kuaishou

Business layer: digital‑human live streaming, AI‑generated copy and edge‑intelligence to remodel content creation and moderation.

R&D layer: an AIDevOps system that embeds AI throughout requirement, design and testing, boosting development efficiency.

AI‑infra layer: systematic optimisation of large‑model inference cost, data security and high‑concurrency stability, lowering AI adoption barriers.

AI‑Native Experience on the Kuaishou Keling AI Platform

Shi Kanle, head of Kuaishou’s Keling AI product centre, described the world‑first user‑facing video‑generation large model platform, its shift from command‑based to conversational interaction, and the cooperation between precise systems and fuzzy large‑model “brain”.

Agent Era: Intelligent Agents on HarmonyOS

Gao Guangyuan from Huawei presented three development paradigms on the Xiaoyi Agent Open Platform—LLM‑driven agents, workflow‑based agents and A2A collaborative agents—highlighting plugin integration, knowledge‑base management and real‑world use cases such as seat recommendation and podcast summarisation.

AI‑Driven AIDevOps in Kuaishou Frontend

Zhong Yi explained the “Code Ling AI” system, which uses multi‑agent contextual retrieval, TaskFlow architecture and long‑term memory to automate requirement understanding, code generation and release, achieving page‑level code generation across multiple frameworks.

AI‑Powered D2C on Xiaohongshu

Li Lu outlined a three‑stage evolution from a naïve image‑to‑code pipeline to a mixed‑mode workflow that combines design‑preprocessing, headless components and human‑in‑the‑loop verification, dramatically improving UI fidelity and development efficiency.

Intelligent Observability for Kuaishou Frontend

Liu Yang described an AI‑augmented stability system that extracts development assets, applies large‑model reasoning for change detection, and uses a four‑step root‑cause analysis to achieve minute‑level fault attribution and proactive UI anomaly detection.

The salon concluded with a closing speech emphasizing the strategic importance of AI‑front‑end convergence and a call for continued collaboration.