Top 10 Meituan Technical Articles of 2023 – Summaries and Links

Happy New Year! As we bid farewell to 2023 and welcome 2024, we have compiled the ten most‑read technical articles from the Meituan Technology public account in 2023. Below are brief introductions and links to the full articles.

01. Code: Evolution and Practice of Meituan Code Hosting Platform Authors: Pan Tao, Fei Xiang, Dan Dan, Mao Qiang Meituan’s code hosting platform has undergone a distributed‑architecture transformation, now managing tens of thousands of repositories and handling millions of Git requests daily. This article discusses the challenges faced during its evolution and the solutions adopted. Read full article

02. Meituan Open Platform SDK Automatic Generation Technology and Practice Authors: Fei Hong, Zhao Dong, Yu Hao, Wang Hong The Open Platform provides over 20 business‑scenario APIs. To accelerate and secure developer integration, multiple language SDKs are offered. This article explains the technology behind automatic SDK code generation. Read full article

03. Code Change Risk Visualization System Construction and Practice Author: Gui Lai Derived from Meituan’s technical salon, this article introduces the challenges of software system risk and change, the capabilities of a code‑change‑risk visualization system, its implementation within Meituan, and future outlooks. Read full article

04. Analysis and Thought Process of a TraceId Recovery Issue Author: Li Zhen Starting from an online alarm, the article walks through root‑cause analysis, distributed tracing design, @Async source‑code inspection, the cause of MTrace cross‑thread propagation failure, and a review of mainstream distributed tracing systems. Read full article

05. How to Provide a Trustworthy A/B Testing Solution Authors: Wang Peng, Yong Bin, Zhong Feng Using a concrete fulfillment‑scenario case, the article discusses statistical pitfalls in experiments, solutions to avoid them, and platform‑level design for reliable A/B testing. Read full article

06. KDD 2023 | Selected Papers by Meituan Technical Team Authors: Meituan Technical Team A curated reading of seven KDD‑2023 papers covering feed recommendation, multimodal data, instance segmentation, and user‑intent prediction, reflecting collaborations with universities and research institutes. Read full article

07. UI Interaction Intent Understanding for Anomaly Detection Authors: Shi Yu, Zhang Yu, Yong Xiang In collaboration with Fudan University, Meituan’s UI interaction team built a multimodal UI intent recognition model and framework, enabling cross‑app test case generation. Read full article

08. How MJDK Achieves a 5‑10× Compression Speed Boost Author: Yan Mei MJDK, Meituan’s JDK distribution built on OpenJDK, improves compression/decompression rates while maintaining compatibility with java.util.zip APIs. Read full article

09. Ultra‑Large‑Scale Database Cluster Stability: High‑Availability Systems Authors: Zhang Hong, Li Jun, Yun Yang An overview of Meituan’s high‑availability design for massive database clusters, covering architecture, deployment, key module considerations, and future directions. Read full article

10. Interactive Recommendation in the Food‑Delivery Scenario Authors: Ji Chen, Ya Cheng, Wang Wei, Cheng Long, Jiang Fei, Wang Cong, Bei Hai Since 2021, the recommendation team has built an interactive recommendation architecture tailored for the fast‑turnover food‑delivery domain, addressing challenges of short user dwell time and real‑time demand understanding. Read full article

These summaries provide a quick overview of the most popular technical writings from Meituan in 2023, covering topics such as backend infrastructure, AI‑driven recommendation, database high availability, and software engineering practices.