Tagged articles

end-to-end delivery

4 articles · Page 1 of 1

Oct 10, 2026 · R&D Management

Zero-Based R&D Rebuild: Tencent's AI Pipeline Delivers 68% of Requirements End-to-End

Tencent's OK platform rebuilt its R&D process from scratch using zero-based thinking, enabling AI to deliver 68% of 254 requirements end-to-end with 51% completed within two hours, replacing traditional handoffs with a nine-stage pipeline, dual quality gates, surgical coding discipline, and a knowledge flywheel that shifts human roles to high-level judgment.

AI-assisted developmentR&D process redesignSoftware Engineering

0 likes · 9 min read

Zero-Based R&D Rebuild: Tencent's AI Pipeline Delivers 68% of Requirements End-to-End

AliExpress Tech

Sep 23, 2026 · R&D Management

Taobao Overseas Tech's AI-Native R&D Shift: SDD, Agents & 85% AI Coding

Taobao and Tmall's overseas technology team shares their transition to an AI-native R&D paradigm using Specification-Driven Development (SDD) and Agent-driven collaboration via DingTalk groups, achieving 85% AI coding adoption and reducing end-to-end delivery cycles by 20-30% for medium-large requirements while maintaining quality baselines.

AI codingDingTalkR&D efficiency

0 likes · 22 min read

Taobao Overseas Tech's AI-Native R&D Shift: SDD, Agents & 85% AI Coding

Qunar Tech Salon

Aug 17, 2026 · Frontend Development

How Qunar Implements AI‑Driven End‑to‑End Front‑End Delivery

The article details Qunar's engineering practice of using AI agents to automate the entire front‑end delivery pipeline—from multi‑modal requirement input and design‑to‑code conversion, through real‑device testing and integration, to state recovery, decision persistence, and knowledge compounding—highlighting challenges, solutions, and future improvement directions.

AIFront-endautomation

0 likes · 19 min read

How Qunar Implements AI‑Driven End‑to‑End Front‑End Delivery

Alibaba Cloud Developer

Jul 21, 2026 · R&D Management

How End‑to‑End Delivery 2.0 Turns AI Coding into an Industrial‑Scale Assembly Line

The article analyzes the bottlenecks of current AI‑assisted coding, proposes a 2.0 end‑to‑end delivery framework that combines a Spec‑driven pipeline with a Harness constraint system, introduces multiple specialized agents, and outlines traceability, verification, and continuous‑improvement mechanisms to achieve industrial‑grade software production.

AI codingHarness frameworkSpec-Driven Development

0 likes · 41 min read

How End‑to‑End Delivery 2.0 Turns AI Coding into an Industrial‑Scale Assembly Line