From Hello World to AI‑Powered Unit Tests: JD Retail Engineers Share Their Journeys

@艾佳 – Software Architecture Vision

With 14 years of work experience and 30 years of programming, @艾佳 likens a software architect to a building architect, emphasizing the need to understand core programming and data fundamentals, system load‑bearing points, and critical pathways. At JD, she built the EasyData tool that turns a single SQL statement into an API, simplifying batch, stream, and interactive computing and reducing the barrier to big‑data processing. The "Algorithm Data Flow" platform, launched in 2022, enables users to create data pipelines via drag‑and‑drop, replacing tens of thousands of lines of code and achieving a weekly growth of 2.4% in user‑generated flows.

@赵嘉铎 – Large‑Scale Architecture Upgrade

@赵嘉铎 led a high‑risk, two‑year effort to overhaul a million‑line advertising‑delivery platform, introducing a methodology that treats "framework as standards, model as implementation, code as documentation." The migration involved meticulous business‑process mapping, phased roll‑outs, functional regression, and gray‑scale validation. Results include a >20% performance boost for core material‑creation APIs, faster issue localization, and a >50% increase in development efficiency for major business demands.

@李孟冬 – Backend Reliability and Points Protection

As a backend developer, @李孟冬 designed a points‑asset protection system for JD’s enterprise gift‑mall, analyzing lifecycle anomalies, enforcing strict transaction validation, and integrating mid‑platform capabilities. The solution intercepted over 140 risky events daily and prevented more than 70 instances of points over‑/under‑payment, including fraud detection during peak seasons.

@王泽华 – Product Management for 3D Vision

@王泽华, product manager for JD.Vision, coordinated a 100‑day delivery of the first 3D product experience, integrating AVP technology, 3D rendering, and multi‑item layout. The rapid, cross‑functional effort delivered a high‑impact homepage showcase that launched successfully during the 618 shopping festival.

@韩艾 – Algorithm Engineering and AIGC Exploration

Beyond music, @韩艾 is an algorithm engineer who built a generic algorithm productivity platform and applied it to nationwide automatic replenishment for JD’s fresh‑food stores and AI assistants for merchants. He also maintains a "references" folder of seminal papers (e.g., word2vec) and regularly reproduces cutting‑edge research to stay ahead of technology trends.

@李新健 – AI‑Driven Unit‑Test Generation (DevBooster)

After joining JD, @李新健 contributed to the DevBooster project, a large‑model‑based tool that generates unit‑test code. By researching AI‑Agent paradigms and fine‑tuning models, the team delivered a plugin that produced millions of lines of test code within a month, dramatically improving development efficiency across core applications.

@李泽阳 – High‑Pressure Live Broadcast Architecture

@李泽阳 recounts the intense three‑month preparation for JD’s first hybrid online‑offline merchant conference in summer 2022, emphasizing the need for ultra‑stable system architecture and seamless user experience. The successful launch reinforced his belief that perseverance and teamwork are essential for technical excellence.

Collectively, these stories illustrate the diverse technical challenges, innovative solutions, and personal growth experiences of JD Retail engineers, offering insights into software architecture, product development, AI application, and the culture that fuels continuous learning.