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JD Tech

Sep 24, 2026 · Artificial Intelligence

JD Haibo's AI Knowledge Base: 3-Layer Architecture, OKF Spec & 44% Faster AB Test

JD Haibo's team built a structured AI knowledge base using OKF specification, a three-layer architecture (project-domain matrix, role-based views, skills), and a closed-loop lifecycle with automated generation and human validation; AB experiments showed 44% faster requirement analysis and more comprehensive coverage of cross-system dependencies.

AB TestingAI knowledge baseJD Haibo

0 likes · 37 min read

JD Haibo's AI Knowledge Base: 3-Layer Architecture, OKF Spec & 44% Faster AB Test

JD Tech

Sep 22, 2026 · Backend Development

18 Advanced Java Coding Practices for High-Performance, Low-CPU Systems (Part 2)

This article details 18 advanced Java coding techniques (19-36) for high-performance, low-CPU systems, covering void/null avoidance, nested code flattening, final/static method optimization, primitive type usage, collection pre-sizing, memory management, immutable collections, loop optimization, wrapper caching, exception reuse, stack trace reduction, try-catch narrowing, bitwise operations, regex precompilation, memory alignment, constant-first comparisons, and batch processing.

Coding Best PracticesHigh PerformanceJVM

0 likes · 52 min read

18 Advanced Java Coding Practices for High-Performance, Low-CPU Systems (Part 2)

JD Tech

Sep 16, 2026 · Backend Development

18 Battle-Tested Java Coding Techniques for High-Performance, Low-CPU Systems (Part 1)

This article presents 18 practical coding techniques derived from million-QPS production systems to reduce CPU consumption and improve performance, covering type unification, string handling, loop optimization, caching strategies, and data structure selection with concrete before/after code examples.

Backend DevelopmentCPU optimizationCoding Best Practices

0 likes · 67 min read

18 Battle-Tested Java Coding Techniques for High-Performance, Low-CPU Systems (Part 1)

JD Tech

Sep 11, 2026 · Product Management

How a B2B PM Cut Requirement Work from 34 to 15 Person-Days with AI Workflows

A B2B product manager shares a practical AI workflow — PRD four-step method, Skill reuse, and Context/Harness engineering — that reduced requirement work from 34 to 15 person-days while maintaining quality, with detailed case studies, boundaries, and learning strategies.

AI workflowB2B Product ManagementHarness engineering

0 likes · 49 min read

How a B2B PM Cut Requirement Work from 34 to 15 Person-Days with AI Workflows

JD Tech

Aug 21, 2026 · Operations

How AI Digital Employee “Nüwa” Cuts P1 Incident MTTR from Hours to Minutes

The article presents Nüwa, an AI‑powered digital employee that automates the entire incident‑to‑release loop—alert detection, log retrieval, root‑cause analysis, AST‑level code fixing, MR creation and deployment—reducing P1 MTTR from hours to minutes and cutting human effort by up to 90% through detailed workflow steps and quantitative comparisons.

AIChatOpsDevOps

0 likes · 13 min read

How AI Digital Employee “Nüwa” Cuts P1 Incident MTTR from Hours to Minutes

JD Tech

Aug 5, 2026 · Artificial Intelligence

Real-Time Video Editing with JD’s Open‑Source JoyAI‑Video‑Edit Sets Global Performance Lead

JD’s open‑source JoyAI‑Video‑Edit model enables real‑time, frame‑accurate video editing at 30 fps in 720p, supports unlimited video length, outperforms leading streaming editors such as SANA Streaming, LiveEdit and Xmax‑X2.0 on the OpenVE‑Bench suite, and opens new possibilities for live commerce, interior design, film production, and robot‑training data synthesis.

JoyAI-Video-EditOpen SourceOpenVE-Bench

0 likes · 6 min read

Real-Time Video Editing with JD’s Open‑Source JoyAI‑Video‑Edit Sets Global Performance Lead

JD Tech

Jul 21, 2026 · Industry Insights

How JD's JoyAI Model Matrix Is Driving AI Into the Physical World

At WAIC 2026, JD unveiled its JoyAI model matrix, open‑sourced the largest human‑viewpoint dataset, and demonstrated an AI‑powered “AI Home,” illustrating a complete pipeline that moves AI from digital screens into real‑world perception, decision‑making, and action.

AI HomeEgoLive datasetEmbodied AI

0 likes · 8 min read

How JD's JoyAI Model Matrix Is Driving AI Into the Physical World

JD Tech

Jun 26, 2026 · Product Management

How JD Health’s OPC Team Built a Full‑Process Product Skill Framework

The article details JD Health’s OPC team’s adoption of Anthropic’s open‑source product‑management Skills to create a repeatable, evidence‑driven workflow that guides problem validation, requirement definition, roadmap planning, sprint execution, and post‑launch review without a dedicated product manager.

AI skillsAnthropicOPC

0 likes · 13 min read

How JD Health’s OPC Team Built a Full‑Process Product Skill Framework

JD Tech

Jun 25, 2026 · Artificial Intelligence

JD Donates Oxygen xLLM Large‑Model Inference Engine to OpenAtom Foundation to Boost Domestic AI Infra

JD donated its self‑developed Oxygen xLLM large‑model inference engine to the OpenAtom Open Source Foundation under Apache 2.0, highlighting its service‑engine decoupled architecture, heterogeneous‑chip support, proven performance gains in e‑commerce, power and public‑safety use cases, and a roadmap to become the domestic AI‑infra standard.

AI infrastructureLarge Model InferenceOpenAtom

0 likes · 9 min read

JD Donates Oxygen xLLM Large‑Model Inference Engine to OpenAtom Foundation to Boost Domestic AI Infra

JD Tech

Jun 5, 2026 · Artificial Intelligence

How JD’s Open‑Source JoyAI‑Echo Solves the Three Big Challenges of Long‑Form Video Generation

JD’s JoyAI‑Echo framework, released on June 3, tackles the three major hurdles of long‑form AI video—character inconsistency, unstable voice timbre, and slow generation—by introducing a cross‑modal memory bank, a memory‑driven training pipeline that speeds inference 7.5×, a conversational Director Agent for selective editing, and real‑time super‑resolution, achieving leading benchmark scores and open‑source availability.

AI video synthesisJoyAI-EchoOpen Source

0 likes · 6 min read

How JD’s Open‑Source JoyAI‑Echo Solves the Three Big Challenges of Long‑Form Video Generation