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.
This article details JD Finance's iOS app chart rendering challenges, the integration of Apache ECharts via a custom ROMA WebView, cache design, data communication between Native and WebView, and performance gains achieved through automated retries and WebView pooling.
This article provides a comprehensive overview of real-time communication technologies for web development, detailing the concepts, principles, advantages, and use cases of WebSocket, Server‑Sent Events, and WebRTC, along with code examples, connection management, and selection guidance.
This guide explains how to adapt the cross‑platform Chromium Embedded Framework for both Windows and macOS, covering required libraries, resource path configuration, main and renderer process initialization, message‑loop handling, window adaptation, and version differentiation to keep a single code base maintainable.
This article explains Retrieval‑Augmented Generation (RAG), an AI framework that combines traditional information retrieval with large language models, covering its core workflow—from knowledge preparation, data cleaning, and metadata extraction to query preprocessing, vector retrieval, reranking, information integration, and final LLM generation, while also reviewing common embedding models and vector databases.
This article explains how the ROMA cross‑platform framework supports dark mode on mobile apps, detailing configuration options, view‑mode attributes, color mapping, iOS trait protocols, and code examples for seamless theme switching, helping developers implement efficient dark‑mode adaptations.
This article introduces the Strategy design pattern, explains its core concept of interchangeable algorithms, and demonstrates a practical Spring-based implementation that routes various message types to specific services using an enum‑driven bean lookup, enabling flexible updates to Elasticsearch for merchant search and analytics.
This article explains how the k8s-cluster-inspector tool automates Kubernetes inspections and, by integrating AI-generated answers, enriches issue data with detailed remediation steps, improving trust, product value, and user experience.
This article explains why migrating AI applications from Nvidia GPUs to domestic Chinese accelerators is urgent, outlines the technical challenges, and presents JD Cloud's JoyScale zero‑perception migration stack with hardware, software, model, and inference optimizations for real‑world scenarios.
This article recounts a JD engineer’s journey from theory to practice, detailing the development of the PODM‑MI re‑ranking framework, its three‑layer distribution‑based design, the discovery of a novel SID bottleneck, and the resulting multi‑million‑order impact validated at SIGIR 2024.
In this detailed case study, a risk‑control algorithm engineer explains how he progressively refined prompts for a large language model—starting from a basic role‑playing instruction, adding business‑specific exemption rules, structuring input/output, and finally implementing a dual‑hypothesis decision framework—to transform the model into a reliable e‑commerce fraud detection expert.
