Official JD Tech public account delivering best practices and technology innovation.
This guide walks you through installing dependencies, creating two MCP‑based SSE servers and a client in Python, explains MCP concepts and architecture, and shows how to run the demo to explore the Model Context Protocol for AI agents.
This article explores why outliers appear in large‑scale internet A/B tests, explains their impact on experiment precision, compares traditional trim and winsorize techniques, reviews a range of statistical and machine‑learning detection methods, and offers practical recommendations for handling them in product experiments.
This article explains how to use SQL coloring in MyBatis by implementing a lightweight interceptor or an AspectJ weave to annotate each SELECT statement with its mapper ID and execution stack, enabling rapid identification of performance bottlenecks during high‑traffic events.
This article outlines the motivations, challenges, and step‑by‑step solutions for migrating over 100 Java applications to JDK 21, covering dependency conflicts, module system adjustments, Maven plugin compatibility, garbage‑collector selection, and practical build and deployment practices to ensure a smooth upgrade.
The article introduces Taro's open-source C-API version for HarmonyOS, detailing its architecture, rich component and CSS support, high-performance rendering, hybrid native integration, and step‑by‑step installation guide, positioning it as a leading frontend solution for cross‑platform development.
This article recounts how JD Retail's young algorithm engineers tackled diverse AI problems—optimizing reward‑model ensembles for ad image generation, building large‑language‑model‑based query expansion, and pruning diffusion models with FFT and RDP—while sharing their technical approaches, code snippets, and growth reflections.
This article provides a comprehensive overview of front‑end technology stacks—including native app development, web frameworks, mini‑programs, and cross‑platform solutions—alongside common network libraries, the full HTTP request lifecycle, and practical performance optimization techniques for speed, weak‑network resilience, and security across native, web, and mini‑program environments.
The article recounts Xiaoting’s journey from a PhD research background to leading JD.com’s ad‑fraud detection, detailing how large language models, reinforcement learning, and model distillation were applied to identify hidden address codes, reduce false‑positive rates to 0.3%, and balance accuracy with real‑time performance in a high‑traffic e‑commerce environment.
This article explains the Aho‑Corasick automaton, a classic multi‑pattern matching algorithm that builds a Trie with fail pointers to achieve linear‑time search over massive keyword sets, and demonstrates a Java implementation for highlighting keywords in HTML documents.
This article explains why consistent Java code style matters, reviews major industry standards such as Google and Alibaba, guides the selection and customization of a style guide, and demonstrates how to configure IntelliJ IDEA, Checkstyle, and Maven to enforce the rules throughout development.
