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Latest from JD Tech

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JD Tech

Mar 25, 2026 · User Experience Design

How Color Science Can Reduce Visual Fatigue for Logistics Operators: A B‑End UI Study

This article presents a comprehensive research project that investigates visual fatigue among logistics customer‑service and warehouse staff, analyzes industry and competitor color standards, derives scientific guidelines for eye‑friendly color schemes, validates three gray, green and yellow designs through eye‑tracking, heart‑rate and questionnaire experiments, and outlines the rollout of a multi‑theme eye‑care mode across JD Logistics B‑end systems.

B2B UIUser Experience DesignVisual Ergonomics

0 likes · 15 min read

How Color Science Can Reduce Visual Fatigue for Logistics Operators: A B‑End UI Study

JD Tech

Mar 12, 2026 · Frontend Development

How Taro 5.0 Achieves One‑Code‑Five‑Platform with WebOnNative Architecture

Taro 5.0 introduces a three‑layer WebOnNative architecture that unifies Mini‑Program, H5, Android, iOS and HarmonyOS development, delivering native‑level performance, pixel‑perfect UI consistency, AI‑assisted tooling, and dynamic publishing capabilities that have already been validated in large‑scale JD business scenarios.

AIDevToolsDynamic Publishing

0 likes · 27 min read

How Taro 5.0 Achieves One‑Code‑Five‑Platform with WebOnNative Architecture

JD Tech

Mar 10, 2026 · Artificial Intelligence

How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain

This article explains JD Insurance's end‑to‑end AI agent methodology, from scenario selection and goal definition through economic benefit formulas, domain‑specific large‑model fine‑tuning, knowledge‑base integration, multi‑agent planning strategies, reinforcement‑learning driven evolution, and concrete implementations for pricing, fulfillment, and risk control across the insurance value chain.

AI Agentsinsurance automationlarge language models

0 likes · 43 min read

How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain

JD Tech

Mar 3, 2026 · Operations

How a Unified Data‑Correction UI with XBP Workflow Boosts Ops Efficiency

In a large, complex system, a new UI built on the XBP configurable workflow streamlines data‑correction tasks by standardizing forms, enabling multi‑scenario field reuse, supporting Excel uploads, enforcing double‑check approvals, and ensuring idempotent, concurrent‑safe processing through distributed locks and UUID‑based deduplication.

Data CorrectionOperationsUI Tool

0 likes · 5 min read

How a Unified Data‑Correction UI with XBP Workflow Boosts Ops Efficiency

JD Tech

Feb 27, 2026 · Artificial Intelligence

Why Agent Skills and MCP Should Work Together, Not Compete

This article clarifies the distinct roles of Agent Skills and Model Context Protocol (MCP), compares their core features, shows how they complement each other through design philosophy and real‑world scenarios, and provides a decision framework for choosing the right tool in AI agent architectures.

AI ArchitectureAgent SkillsMCP

0 likes · 26 min read

Why Agent Skills and MCP Should Work Together, Not Compete

JD Tech

Feb 5, 2026 · Artificial Intelligence

How OxygenREC Marries Fast and Slow Thinking to Revolutionize E‑commerce Recommendations

OxygenREC presents a fast‑slow thinking, instruction‑following generative framework that overcomes latency, reasoning, and multi‑scene scalability challenges in e‑commerce recommendation, delivering unified training, low‑latency inference, and significant business impact across JD.com scenarios.

LLMe-commercegenerative AI

0 likes · 13 min read

How OxygenREC Marries Fast and Slow Thinking to Revolutionize E‑commerce Recommendations

JD Tech

Jan 31, 2026 · Artificial Intelligence

How JD's 9N‑LLM Engine Powers Scalable Generative Recommendation at Massive Scale

This article details JD Retail's 9N‑LLM unified training framework that tackles the massive data, hardware heterogeneity, and algorithmic challenges of generative recommendation by integrating TensorFlow and PyTorch, supporting GPU/NPU, and delivering high‑throughput sample processing, sparse/dense optimization, and flexible reinforcement‑learning capabilities.

GPU/NPURaylarge-scale AI

0 likes · 26 min read

How JD's 9N‑LLM Engine Powers Scalable Generative Recommendation at Massive Scale

JD Tech

Jan 27, 2026 · Artificial Intelligence

How Uni-Layout Unifies Cross‑Task Layout Generation with Human‑Like Evaluation

Uni-Layout introduces a unified framework that integrates a universal layout generator, a human‑feedback‑simulating evaluator, and a dynamic margin preference optimization technique to align generation and evaluation across diverse e‑commerce design tasks, backed by a new 100k human‑annotated dataset.

Human Feedbackdynamic margin optimizatione-commerce design

0 likes · 11 min read

How Uni-Layout Unifies Cross‑Task Layout Generation with Human‑Like Evaluation

JD Tech

Jan 20, 2026 · Backend Development

How to Build a Multi‑Protocol MCP Server Framework with TypeScript

This article explains why a unified MCP‑Server framework supporting stdio, streamableHttp, and SSE is needed for AI‑driven services, describes its modular design, directory layout, startup commands, environment‑based configuration, key code components, deployment scripts, and showcases successful integration with JoyCode and JoyAgent.

DevOpsMCPSSE

0 likes · 9 min read

How to Build a Multi‑Protocol MCP Server Framework with TypeScript

JD Tech

Jan 16, 2026 · Artificial Intelligence

How JD’s AI Shopping App Redefines E‑Commerce with Intent‑Driven Minimalism

The article examines JD’s AI‑powered shopping app, detailing its chatbot‑style interface, intent‑driven workflow, AI‑enhanced product recommendation, multi‑scenario integration such as travel and dining, and the underlying research on Fast‑Slow thinking and the SA‑GCPO algorithm that powers the experience.

AIChatbotProduct Review

0 likes · 12 min read

How JD’s AI Shopping App Redefines E‑Commerce with Intent‑Driven Minimalism