JD Cloud Developers
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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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JD Cloud Developers
JD Cloud Developers
Aug 26, 2025 · Artificial Intelligence

How AI is Transforming Automation: From Scripts to Intelligent Systems

Amid the digital transformation wave, automation has evolved from simple scripted tasks to AI-powered intelligent systems, offering adaptive decision-making, dynamic workflow generation, and robust handling of UI changes, with tools like Playwright and MidScene.js enabling both web and mobile automation through advanced AI integration.

AIMidscenePlaywright
0 likes · 14 min read
How AI is Transforming Automation: From Scripts to Intelligent Systems
JD Cloud Developers
JD Cloud Developers
Aug 25, 2025 · Artificial Intelligence

Kickstart Multi-Agent Collaboration with OxyGent: 20‑Line Setup Guide

This guide introduces the open‑source OxyGent multi‑agent framework, provides step‑by‑step installation, a 20‑line hello‑world example, tool integration via SSE, MCP and FunctionHub, deployment features like data persistence and distributed setup, and outlines advanced use cases such as multimodal agents and plan‑and‑solve paradigms.

AI FrameworkMulti-agentOxyGent
0 likes · 5 min read
Kickstart Multi-Agent Collaboration with OxyGent: 20‑Line Setup Guide
JD Cloud Developers
JD Cloud Developers
Aug 22, 2025 · Artificial Intelligence

Unlocking AI Productivity: Inside JD’s Large‑Model Tool Innovations

JD’s internal technical salon reveals the rapid evolution of large‑model AI tools, outlining design principles, current capabilities like JoyAgent, OxyGent and JoyCode, real‑world applications across office, code review, logistics, and future policy and multi‑agent visions, highlighting their impact on modern workplace productivity.

AI toolsEnterprise AIJD.com
0 likes · 13 min read
Unlocking AI Productivity: Inside JD’s Large‑Model Tool Innovations
JD Cloud Developers
JD Cloud Developers
Aug 18, 2025 · Fundamentals

Boost Architecture Efficiency: Stability, Performance, and Clean Code Strategies

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.

Design Principlescode qualitysoftware architecture
0 likes · 14 min read
Boost Architecture Efficiency: Stability, Performance, and Clean Code Strategies
JD Cloud Developers
JD Cloud Developers
Aug 14, 2025 · Artificial Intelligence

Boosting Text-to-SQL Accuracy: J‑Schema, Iterative DPO, and Self‑Consistency

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.

Database QAIterative DPOJ-Schema
0 likes · 10 min read
Boosting Text-to-SQL Accuracy: J‑Schema, Iterative DPO, and Self‑Consistency
JD Cloud Developers
JD Cloud Developers
Aug 13, 2025 · Backend Development

Why Do MySQL PhantomReferences Cause Long GC Pauses and How to Fix Them?

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.

ConnectionPoolJVMJava
0 likes · 12 min read
Why Do MySQL PhantomReferences Cause Long GC Pauses and How to Fix Them?
JD Cloud Developers
JD Cloud Developers
Jul 23, 2025 · Artificial Intelligence

How Causal Inference Meets Large Language Models to Revolutionize E‑commerce Pricing

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.

Reinforcement learningcausal inferencee‑commerce pricing
0 likes · 14 min read
How Causal Inference Meets Large Language Models to Revolutionize E‑commerce Pricing