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JD Cloud Developers

JD Cloud Developers (Developer of JD Technology) is a JD Technology Group platform offering technical sharing and communication for AI, cloud computing, IoT and related developers. It publishes JD product technical information, industry content, and tech event news. Embrace technology and partner with developers to envision the future.

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Latest from JD Cloud Developers

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JD Cloud Developers
JD Cloud Developers
Jul 9, 2025 · Backend Development

Boost Java Backend Performance with MyBatis-Plus LambdaQueryWrapper and Spring @Async

Learn how to combine MyBatis-Plus's type‑safe LambdaQueryWrapper with Spring Boot's @Async annotation to build readable, maintainable queries and execute them asynchronously, including configuration of custom thread pools, exception handling, transaction management, and practical use cases such as reporting and batch processing.

@AsyncLambdaQueryWrapperMyBatis-Plus
0 likes · 8 min read
Boost Java Backend Performance with MyBatis-Plus LambdaQueryWrapper and Spring @Async
JD Cloud Developers
JD Cloud Developers
Jul 8, 2025 · Artificial Intelligence

How AI Can Turn a Code Maze into a Knowledge Hub for New Developers

This article follows a new developer named Li Ming as he confronts undocumented code, hidden business rules, and fragmented knowledge, then demonstrates how leveraging large‑language models to index, associate, and retrieve code, requirements, and operational data can create an intelligent knowledge base that streamlines onboarding, reduces errors, and enhances collaboration across development, testing, and product teams.

AIRAGsoftware development
0 likes · 19 min read
How AI Can Turn a Code Maze into a Knowledge Hub for New Developers
JD Cloud Developers
JD Cloud Developers
Jul 4, 2025 · Artificial Intelligence

How AI-Powered Virtual Try-On Boosted Fashion Sales by 80%+

This article details JD Retail's AI virtual try‑on system, its technical challenges, innovations such as a large‑scale diffusion model and adaptive masking, and how the solution dramatically cut costs, accelerated image production, and increased conversion rates for fashion e‑commerce during a major promotion.

AIFashion E‑commercediffusion model
0 likes · 14 min read
How AI-Powered Virtual Try-On Boosted Fashion Sales by 80%+
JD Cloud Developers
JD Cloud Developers
Jul 2, 2025 · Artificial Intelligence

How JoyGen Achieves High‑Quality Audio‑Driven 3D Talking‑Face Video Editing

JoyGen introduces a two‑stage framework that combines 3D morphable model reconstruction with audio‑driven lip motion generation and depth‑aware visual synthesis, delivering precise audio‑lip synchronization and superior visual quality on both the HDTF benchmark and a newly built high‑resolution Chinese talking‑face dataset.

3DMMAIGCDeep Learning
0 likes · 12 min read
How JoyGen Achieves High‑Quality Audio‑Driven 3D Talking‑Face Video Editing
JD Cloud Developers
JD Cloud Developers
Jul 1, 2025 · Fundamentals

How False Sharing Slows Your Java Apps and How to Eliminate It

This article explains the cache architecture behind false sharing, demonstrates its dramatic performance impact with benchmark code, and shows how Java's @Contended annotation and Caffeine's memory‑padding techniques can effectively eliminate the issue for high‑concurrency applications.

False sharingcache optimizationperformance tuning
0 likes · 10 min read
How False Sharing Slows Your Java Apps and How to Eliminate It
JD Cloud Developers
JD Cloud Developers
Jun 30, 2025 · Backend Development

Unveiling Guava Cache Internals: Why It Lags Behind Caffeine

This article dissects Guava Cache's source code, explaining its segment‑based locking, data structures, put/get implementations, cleanup and eviction mechanisms, and then contrasts its performance and design choices with the more modern Caffeine cache, highlighting why Guava falls short.

CacheCaffeineGuava
0 likes · 39 min read
Unveiling Guava Cache Internals: Why It Lags Behind Caffeine
JD Cloud Developers
JD Cloud Developers
Jun 24, 2025 · Artificial Intelligence

How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce

At GAITC2025, JD Retail’s AI Infra lead Zhang Ke detailed the challenges of e‑commerce AI inference and introduced the xLLM edge‑cloud unified large‑model architecture, highlighting adaptive scheduling, offline unified scheduling, multi‑layer pipelines, and agent collaboration that boost performance, cut costs, and pave the way for future AI advancements.

AI inferenceE-commerceedge-cloud
0 likes · 6 min read
How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce