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This article examines how software architecture can be made more efficient by focusing on three core dimensions—stability, performance, and code quality—offering practical insights, orthogonal design principles, and layered coding practices to achieve a robust, fast, and maintainable system.
This article presents a comprehensive study on improving Text-to-SQL performance by introducing J‑Schema for structured schema representation, applying iterative Direct Preference Optimization (DPO) training, and leveraging self‑consistency voting mechanisms, achieving up to a 12% accuracy gain on the BIRD benchmark.
This article analyzes frequent timeout alerts caused by the getUiToken API, investigates JVM garbage‑collection pauses linked to excessive PhantomReference objects from MySQL connections, and presents configuration, code, and scheduling solutions that dramatically reduce GC latency and improve service stability.
This article walks you through deploying JD Cloud’s open‑source JoyAgent AI agent, covering lightweight cloud host creation, opening firewall ports, configuring model and search engine settings, and finally starting the service to access the Genie interface via a public IP.
The article details JD.com’s AI‑driven supply‑chain innovations, from dynamic demand forecasting and risk‑aware decision loops to a groundbreaking billion‑parameter time‑series model that boosts inventory efficiency, reduces costs, and reshapes global logistics ecosystems.
At QCon 2025, the author presented a novel approach that integrates causal inference with large language models using Retrieval‑Augmented Generation, process rewards, and tree‑search to generate explainable, accurate e‑commerce pricing recommendations, dramatically improving accuracy from 44% to 74% while cutting inference time to seconds.
This article explains Spring Interceptors, their relationship with WebApplicationContext, various types, configuration methods, execution flow, advanced features, differences from filters, and provides practical logging and authentication examples with code snippets.
JD's retail technology team presents five SIGIR 2025 papers that introduce advanced graph neural, causal optimal transport, domain‑oriented relevance, multi‑objective bid‑word generation, and hierarchical user behavior models to dramatically improve precise matching in e‑commerce search, recommendation, and advertising.
This article details JD Advertising's journey from a 1 PB Apache Doris data lake to a multi‑level hot‑cold tiering architecture, describing two tiering strategies, the performance and schema‑change challenges faced during the upgrade to Doris 2.0, and the optimizations that reduced storage costs by about 87% while boosting query throughput.
At the 2025 Huawei Developer Conference, JD’s mini‑program team demonstrated how integrating the Cangjie language into HarmonyOS mini‑programs can halve JS API execution time, reduce main‑thread load, and improve cold‑start performance by up to 20% across high‑frequency scenarios.
