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DaTaobao Tech

Jul 15, 2026 · Artificial Intelligence

AI Native Model (AINMM): Five Levels to Measure Production AI Transformation

The article introduces the AI Native Maturity Model (AINMM), a five‑level framework inspired by CMMI that defines measurable criteria for assessing and guiding the evolution of existing production‑grade software projects toward AI‑driven development, offering concrete steps, tools, and case‑study insights to achieve ten‑fold efficiency gains.

AI integrationAI-nativeMaturity Model

0 likes · 39 min read

AI Native Model (AINMM): Five Levels to Measure Production AI Transformation

DaTaobao Tech

Jul 13, 2026 · Artificial Intelligence

Agentic RL in Taobao Live: From RLVR to Multi‑Agent Reinforcement Learning

The article details how Taobao Live upgraded its static workflow to a low‑latency Agentic architecture, applied AgentTuning distillation and RLVR to curb hallucinations, and introduced a Multi‑Agent RL framework that separates tool‑calling and reply generation, achieving significant gains in factual correctness, helpfulness, and overall performance.

Agentic RLLLMLow latency

0 likes · 23 min read

Agentic RL in Taobao Live: From RLVR to Multi‑Agent Reinforcement Learning

DaTaobao Tech

Jul 10, 2026 · Artificial Intelligence

Rethinking Diffusion‑Based Video Super‑Resolution with Dense Feature‑Guided Alignment (DGAF‑VSR)

The paper introduces DGAF‑VSR, a diffusion‑model video super‑resolution framework that leverages feature‑domain alignment and dense temporal guidance via an Optical‑Guided Warping Module and a Feature‑wise Temporal Condition Module, achieving state‑of‑the‑art perceptual, fidelity, and temporal scores on REDS4, Vid4 and VideoLQ datasets.

CVPR 2026DGAF-VSRdiffusion models

0 likes · 12 min read

Rethinking Diffusion‑Based Video Super‑Resolution with Dense Feature‑Guided Alignment (DGAF‑VSR)

DaTaobao Tech

Jul 3, 2026 · Artificial Intelligence

LocalDPO: A CVPR 2026 Method for Fine‑Grained Preference Optimization in Video Diffusion Models

LocalDPO introduces a zero‑annotation, region‑aware DPO framework that uses high‑quality real videos as positive samples and automatically generated locally degraded negatives to align video diffusion models with human preferences, achieving significant gains in visual quality, temporal consistency, and subjective ratings on CogVideoX and Wan2.1.

Artificial IntelligenceCVPR 2026LocalDPO

0 likes · 13 min read

LocalDPO: A CVPR 2026 Method for Fine‑Grained Preference Optimization in Video Diffusion Models

DaTaobao Tech

Jul 1, 2026 · Artificial Intelligence

Designing AI Agent Skills: Behavior Programming, Token Economics, and Enforced Constraints

The article explains how to design AI Agent Skill systems as behavior‑programmed ability packages, covering structured YAML/Markdown definitions, token‑budget strategies, discovery mechanisms, constraint gates, TDD‑style testing, and iterative validation to achieve high compliance, low cost, and maintainable agent behavior.

AI AgentBehavior ProgrammingConstraint Mechanisms

0 likes · 18 min read

Designing AI Agent Skills: Behavior Programming, Token Economics, and Enforced Constraints

DaTaobao Tech

Jun 29, 2026 · Frontend Development

AI-Powered Animation Pipeline: From After Effects to Ready-to-Run Front‑End Code

The article analyzes the pain points of traditional front‑end animation hand‑off and presents a full‑link solution that uses an After Effects plugin, AI‑driven code generation, and smart integration to turn designer animations into runnable code, cutting development time from hours to minutes while achieving over 95% visual fidelity.

AIAfter EffectsAutomation

0 likes · 15 min read

AI-Powered Animation Pipeline: From After Effects to Ready-to-Run Front‑End Code

DaTaobao Tech

Jun 26, 2026 · Artificial Intelligence

From Traditional Data Science to AI Workflows: My QoderWork Skills Journey

This article details the author’s practical transition from conventional data‑science pipelines to AI‑driven automation using QoderWork Skills, describing a four‑layer engineering architecture, concrete Skill examples, design principles, and lessons learned for building reliable AI agents.

AI AgentsData science automationFour‑layer design

0 likes · 19 min read

From Traditional Data Science to AI Workflows: My QoderWork Skills Journey

DaTaobao Tech

Jun 24, 2026 · Artificial Intelligence

Tarot Pixel: An Agent‑Native Visual Restoration System for AI‑Powered Front‑End Coding

The article presents Tarot Pixel, an agent‑native visual‑restoration framework that shifts design‑to‑code from a static pipeline to an interactive AI‑driven loop, enabling Coding Agents to query structured visual data on demand, reduce manual layer handling, and iteratively refine front‑end implementations.

AI codingAgent‑NativeCoding Agent

0 likes · 31 min read

Tarot Pixel: An Agent‑Native Visual Restoration System for AI‑Powered Front‑End Coding

DaTaobao Tech

Jun 22, 2026 · Artificial Intelligence

Breaking AI Coding Bottlenecks: How Specflow Agent Separates Deep Analysis from Code Execution

The article dissects why AI‑generated code often fails to boost productivity—highlighting attention‑mechanism limits, context collapse, and mismatched developer workflows—and proposes a Specflow Agent that isolates deep requirement analysis from coding to dramatically cut manual intervention.

AI codingContext ManagementSpecflow

0 likes · 40 min read

Breaking AI Coding Bottlenecks: How Specflow Agent Separates Deep Analysis from Code Execution

DaTaobao Tech

Jun 12, 2026 · Artificial Intelligence

Iterative Agent Skill Development: Turning Expert Knowledge into Zero‑Dependency SOPs

This article defines Agent Skill as a modular, file‑system‑driven knowledge asset, explains its three‑layer progressive‑disclosure architecture, outlines core features such as decision‑tree logic and dual verification, details suitable scenarios, and provides a step‑by‑step iterative workflow with concrete code snippets and tooling.

AI AgentAgent SkillIterative Development

0 likes · 14 min read

Iterative Agent Skill Development: Turning Expert Knowledge into Zero‑Dependency SOPs