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Latest from vivo Internet Technology

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vivo Internet Technology

May 20, 2026 · Frontend Development

Building a Composable AI Agent Frontend Library with VAPD AgentKit

The article presents VAPD AgentKit, a composable front‑end library that unifies AI agent capabilities for note‑taking, knowledge‑base, and project‑management scenarios by defining a standard message model, a protocol‑agnostic runtime adapter, and a front‑end orchestration layer, and it details the architecture, event flow, tool integration, UI interactions, quick integration steps, business alignment, and future enhancements.

Composable AI AgentsMessage ModelRuntime Adapter

0 likes · 12 min read

Building a Composable AI Agent Frontend Library with VAPD AgentKit

vivo Internet Technology

May 13, 2026 · Big Data

How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations

This article details Vivo's end‑to‑end upgrade of a YARN 2.6.0 cluster to a modern version for a million‑node, hundred‑thousand‑tasks‑per‑day platform, covering architectural evolution, scheduler migration, compatibility fixes, performance tuning, and service‑continuity strategies.

Big DataCapacity SchedulerCluster Upgrade

0 likes · 28 min read

How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations

vivo Internet Technology

May 6, 2026 · Frontend Development

Implementing AVIF at Vivo: Next‑Gen Image Format in Practice

The article details how Vivo’s front‑end team tackled performance bottlenecks by researching AVIF, designing a graceful degradation strategy with CDN edge caching and asynchronous server transcoding, implementing smart format detection, and validating a 20%+ size reduction over WebP that yielded 15‑25% LCP improvement, 30%+ first‑screen load gains and over 30% bandwidth savings.

AVIFCDNFrontend

0 likes · 12 min read

Implementing AVIF at Vivo: Next‑Gen Image Format in Practice

vivo Internet Technology

Apr 22, 2026 · Cloud Native

Deep Dive into Vivo Activity System Globalization: Boost Reuse, Cut Maintenance

The article details Vivo's activity system globalization, covering multilingual support, multi‑timezone handling, multi‑tenant architecture, multi‑datacenter deployment, and a unified global code line, showing how these measures increase component reuse, lower maintenance costs, and improve global service stability.

Cloud NativeMulti‑tenantarchitecture

0 likes · 17 min read

Deep Dive into Vivo Activity System Globalization: Boost Reuse, Cut Maintenance

vivo Internet Technology

Apr 15, 2026 · Industry Insights

Why Coding Agents Lead and How to Bring Business Agents into Production

This article analyzes why Coding Agents have advanced fastest, why other business domains lack breakthrough agents, identifies the missing capabilities for OpenClaw to reach production, and presents Amazon's sandbox approach as a practical solution for stable, verifiable, and roll‑backable business agents.

AI agentsAmazon sandboxBusiness Automation

0 likes · 12 min read

Why Coding Agents Lead and How to Bring Business Agents into Production

vivo Internet Technology

Apr 8, 2026 · Artificial Intelligence

Efficient AI Agent Design: Context, Tool Loading & Loop Strategies

This article analyses the architectural choices behind modern AI agents such as OpenClaw and Claude Code, covering context management (append‑only, compression, task isolation), tool loading (tools field vs. prompt embedding, console vs. remote MCP), tool discovery methods (full injection, incremental loading, sub‑agents, vector search, Skill layer), and the trade‑offs between dialogue‑driven and task‑driven main loops, concluding with practical recommendations for building cost‑effective agents.

AI agentsTool Discoverytask isolation

0 likes · 20 min read

Efficient AI Agent Design: Context, Tool Loading & Loop Strategies

vivo Internet Technology

Apr 1, 2026 · Artificial Intelligence

Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation

This article introduces C²FG, a training‑free, plug‑and‑play time‑adaptive exponential control function that replaces the fixed classifier‑free guidance scale, theoretically justifies its superiority with score discrepancy bounds, and demonstrates significant FID and IS improvements across multiple diffusion architectures on ImageNet.

CVPR 2026Classifier-Free GuidancePlug-and-Play

0 likes · 7 min read

Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation

vivo Internet Technology

Mar 25, 2026 · Industry Insights

How Vivo Scaled Marketing Automation with Presto, Bitmap, and StarRocks

This case study details how Vivo’s marketing automation platform evolved its data‑driven architecture—from a Presto‑based wide‑table design, through a Bitmap optimization, to a StarRocks migration—addressing performance bottlenecks, reducing resource costs, and enhancing data security.

Big DataData ArchitectureOLAP

0 likes · 11 min read

How Vivo Scaled Marketing Automation with Presto, Bitmap, and StarRocks

vivo Internet Technology

Mar 18, 2026 · Artificial Intelligence

How Ada-RefSR Eliminates Hallucinations in Single‑Step Diffusion Super‑Resolution

This article presents Ada-RefSR, a novel single‑step diffusion‑based reference super‑resolution framework that introduces a "Trust but Verify" paradigm, adaptive implicit correlation gating, and lightweight architecture to robustly suppress hallucinations and achieve state‑of‑the‑art performance on multiple benchmarks, while being suitable for mobile deployment.

Ada-RefSRICLR2026diffusion

0 likes · 10 min read

How Ada-RefSR Eliminates Hallucinations in Single‑Step Diffusion Super‑Resolution

vivo Internet Technology

Mar 4, 2026 · Artificial Intelligence

How I Built a 5‑Minute Full‑Stack Feature with AI: Lessons Toward a Real‑World Jarvis

The author shares practical experiences of collaborating with AI coding assistants, outlines the current gaps between today’s tools and an ideal Jarvis‑like system, and demonstrates a template‑driven Next.js workflow that lets AI generate a complete feature in five minutes while offering concrete decision‑making rules and task classifications.

AI CollaborationAI agentsFull-Stack Development

0 likes · 14 min read

How I Built a 5‑Minute Full‑Stack Feature with AI: Lessons Toward a Real‑World Jarvis