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Latest from Kuaishou Tech

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Kuaishou Tech

Sep 3, 2026 · R&D Management

Harness Engineering: How Kuaishou E-commerce Reshapes R&D with AI Pipelines

Kuaishou E-commerce's merchant team details their end-to-end AI delivery pipeline (Harness Engineering) combined with organizational restructuring, achieving 30% throughput gains and 40% delivery-time reduction by shifting from functional silos to full-stack 'super individuals' across requirements, spec, dev, test, and oncall phases.

AI PipelineDomain KnowledgeFull-Stack Development

0 likes · 30 min read

Harness Engineering: How Kuaishou E-commerce Reshapes R&D with AI Pipelines

Kuaishou Tech

Aug 13, 2026 · Industry Insights

How Six Kuaishou Engineering Teams Turned AI Into Real‑World Business Impact

The article examines how six Kuaishou engineering teams integrated AI across product, development, testing, e‑commerce, anti‑fraud and operations, using Agent‑First platforms and a Harness framework to convert individual coding speed gains into measurable organizational efficiency, merchant revenue growth, and faster risk detection.

AIAgentAutomation

0 likes · 19 min read

How Six Kuaishou Engineering Teams Turned AI Into Real‑World Business Impact

Kuaishou Tech

Aug 6, 2026 · R&D Management

How Kuaishou Redefined AI R&D: From Efficiency Gains to an Organizational Leap

This article presents Kuaishou’s 2026 H1 comprehensive review of its AI productivity system, detailing the three‑year evolution, the three critical bottlenecks that hindered scaling (skill polarization, workflow friction, and AI‑human coordination), the historical banking analogy that shaped a new AI‑productivity paradigm, a five‑stage roadmap with three parallel execution tracks, and concrete case studies that demonstrate a 10% rise in per‑person demand delivery, an 11%+ reduction in cycle time, and a doubling of AI code‑generation rates across the organization.

AI EfficiencyAI productivityAI-native teams

0 likes · 33 min read

How Kuaishou Redefined AI R&D: From Efficiency Gains to an Organizational Leap

Kuaishou Tech

Aug 5, 2026 · Artificial Intelligence

From Single Advertiser Optimality to Platform‑Wide Win‑Win: Introducing PlatformBid

PlatformBid, the first benchmark designed from a unified advertising‑platform perspective, expands real‑time bidding research beyond DSP‑centric single‑advertiser goals by adding platform‑level constraints, three realistic evaluation settings, and a new Flow‑Matching‑based algorithm (BidFlow) that achieves state‑of‑the‑art performance both offline and in a live Kuaishou e‑commerce deployment, delivering a 0.68% consumption lift.

AdvertisingFlow MatchingKDD 2026

0 likes · 16 min read

From Single Advertiser Optimality to Platform‑Wide Win‑Win: Introducing PlatformBid

Kuaishou Tech

Aug 4, 2026 · Artificial Intelligence

KDD 2026 Highlights: 25 Kuaishou Papers Selected, 3 Oral Presentations

The Kuaishou technology team had 25 papers accepted at the prestigious KDD 2026 conference—including three oral presentations—covering generative recommendation, automated bidding, semantic ID learning, multi‑behavior modeling, and other AI‑driven advances that are already deployed at massive scale on the platform.

AdvertisingGenerative ModelsKDD2026

0 likes · 33 min read

KDD 2026 Highlights: 25 Kuaishou Papers Selected, 3 Oral Presentations

Kuaishou Tech

Jul 10, 2026 · Artificial Intelligence

KAT-Coder-Pro V2.5 Launch: Boosting Agentic Coding from Code Writing to Full Engineering

KAT-Coder-Pro V2.5 introduces a flagship Agentic coding model that expands long‑chain engineering ability, adds a universal Agentic framework, and leverages a large‑scale RL pipeline, achieving top scores on SWE‑Bench Pro, PinchBench and internal benchmarks while enabling developers to hand over complete issues without manual decomposition.

AutoBuilderKAT-Coder-ProSoftware Engineering AI

0 likes · 11 min read

KAT-Coder-Pro V2.5 Launch: Boosting Agentic Coding from Code Writing to Full Engineering

Kuaishou Tech

Jul 8, 2026 · Artificial Intelligence

Four-Stage Evolution of Intelligent UI Test Case Generation and Execution

This article analyzes the growing pressure on software testing caused by rapid product iteration and complex business rules, then details a four‑stage evolution—from prompt‑engineered V1 to multi‑agent V2, knowledge‑enhanced V3, and agentic self‑evolving V4—showing how each stage improves generation rate, adoption, and defect coverage while outlining practical lessons for teams adopting AI‑driven testing.

AIKnowledge ManagementMulti-Agent Systems

0 likes · 19 min read

Four-Stage Evolution of Intelligent UI Test Case Generation and Execution

Kuaishou Tech

Jul 7, 2026 · Artificial Intelligence

AI Coding Product Evolution: From Autocompletion to Human‑Agent Collaboration

The talk traces Kuaishou's AI coding journey from early tab‑completion with 5‑20% generation rates to a 90‑100% code‑generation ratio in recent weeks, analyzes the persistent ABAB serial‑execution friction, and proposes a spec‑driven long‑running Agent loop that externalizes state, unifies execution nodes, and enables true human‑agent parity through shared context and CLI integration.

AI codingcoding agentsexecution node

0 likes · 29 min read

AI Coding Product Evolution: From Autocompletion to Human‑Agent Collaboration

Kuaishou Tech

Jul 6, 2026 · Artificial Intelligence

ICML 2026 Spotlight: MetaphorVU – The First Benchmark for Metaphorical Video Understanding

The MetaphorVU project introduces the first systematic benchmark for metaphor video understanding, builds a taxonomy of eight metaphor types from billions of real short videos, evaluates 11 multimodal LLMs revealing a 20‑point gap to human performance, and proposes MetaphorBoost—a knowledge‑graph‑enhanced inference framework that consistently improves metaphor comprehension across models.

ICML 2026Knowledge GraphMetaphorBoost

0 likes · 14 min read

ICML 2026 Spotlight: MetaphorVU – The First Benchmark for Metaphorical Video Understanding

Kuaishou Tech

Jul 2, 2026 · R&D Management

From AI Tools to AI‑Native Teams: Paradigm Shifts and Organizational Evolution

The talk reveals why, despite 89% of firms deploying AI, overall productivity only rose 0.29%, and explains Kuaishou's three‑layer AI‑native paradigm (L1‑L3), the hidden frictions between humans and AI, and the three‑tier restructuring of information, processes, and organization needed to turn AI capability into real engineering efficiency.

AI productivityAI-nativeKuaishou

0 likes · 23 min read

From AI Tools to AI‑Native Teams: Paradigm Shifts and Organizational Evolution