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High Availability Architecture
High Availability Architecture
Jul 7, 2026 · R&D Management

Towards AI‑Native: How Kuaishou’s Tech Team Shifted Paradigms and Evolved Its Organization

Kuaishou’s over‑thousand‑engineer team discovered that merely adding AI tools boosted individual coding speed but left overall delivery cycles unchanged, prompting a three‑level AI‑native redesign (L1‑assist, L2‑collaborate, L3‑autonomous), new metrics, and a restructuring of information, workflow, and organization to truly capture AI’s productivity potential.

AI-nativeKuaishouR&D Transformation
0 likes · 24 min read
Towards AI‑Native: How Kuaishou’s Tech Team Shifted Paradigms and Evolved Its Organization
Alibaba Cloud Observability
Alibaba Cloud Observability
Aug 25, 2025 · Artificial Intelligence

From Code to AI Native Apps: The Evolution of Programming Paradigms

This article explores how programming paradigms have shifted from traditional languages to AI‑driven development, detailing AI Agent concepts, workflow versus agentic modes, single versus multi‑agent strategies, prompt versus context engineering, the reference architecture with Spring AI Alibaba, Nacos, Higress and RocketMQ, and the observability solutions built on OpenTelemetry and LoongSuite.

AIAI AgentsNacos
0 likes · 20 min read
From Code to AI Native Apps: The Evolution of Programming Paradigms
FunTester
FunTester
May 8, 2026 · R&D Management

Software 3.0 Arrives, Yet the Real Bottleneck Persists Downstream

Although AI coding tools dramatically accelerate code generation, the true delivery bottleneck has moved from writing code to downstream stages like review, testing, integration, and stability verification, requiring teams to redesign processes, invest in architecture, and manage AI agents effectively.

AI codingDevOpsR&D management
0 likes · 11 min read
Software 3.0 Arrives, Yet the Real Bottleneck Persists Downstream
DataFunSummit
DataFunSummit
Jul 7, 2025 · Artificial Intelligence

How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI

With the rapid evolution from Generative AI to Agentic AI, enterprises face both opportunities and challenges in building AI‑Native applications; this article examines the shift in AI development models, outlines key technical hurdles, and presents architectural and tooling strategies—including Chat BI, LangStudio, and multi‑modal data pipelines—to guide successful AI integration.

AIAgenticChatBI
0 likes · 19 min read
How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI
JD Cloud Developers
JD Cloud Developers
Jul 28, 2026 · Artificial Intelligence

How Haibo’s AI‑Native Framework Harnesses Double‑Loop Architecture, Knowledge Bases, and Self‑Iterating Skills

The article analyses Haibo’s AI‑Native development roadmap, which replaces ad‑hoc conversational AI assistants with a structured, file‑driven engineering system featuring a double‑layer governance model, three‑tier skill/agent/rule assets, a Google‑OKF knowledge base, self‑optimising skill loops, and real‑world case studies that demonstrate massive efficiency and cost gains.

AI-nativeAutomationcase study
0 likes · 16 min read
How Haibo’s AI‑Native Framework Harnesses Double‑Loop Architecture, Knowledge Bases, and Self‑Iterating Skills
Yunqi AI+
Yunqi AI+
Apr 2, 2026 · Industry Insights

From Code Writer to AI Conductor: How Vibe Coding Lets a Manager Build a Full Product with Just Words

The article recounts how a technically‑savvy manager used the AI‑driven Vibe Coding paradigm to create an end‑to‑end system—content generation, AI客服, ordering, shop management and token monitoring—solely through natural‑language prompts, highlighting the shift from traditional engineering to AI‑guided product development.

AI programmingLLMVibe Coding
0 likes · 7 min read
From Code Writer to AI Conductor: How Vibe Coding Lets a Manager Build a Full Product with Just Words
21CTO
21CTO
Nov 16, 2023 · Artificial Intelligence

Top 10 Tech Trends to Watch in 2024: AI, Cloud, Security & More

2024 will bring a wave of transformative technologies—from AI‑enhanced development and democratized generative AI to continuous threat exposure management, AI trust and safety, platform engineering, machine‑type clients, industry‑specific clouds, intelligent apps, augmented workforce, and sustainable tech—shaping how IT professionals innovate and stay competitive.

2024AIPlatform Engineering
0 likes · 6 min read
Top 10 Tech Trends to Watch in 2024: AI, Cloud, Security & More
Data Party THU
Data Party THU
Feb 27, 2026 · Artificial Intelligence

How “Vibe Coding” Is Redefining Software Development in 2026

Vibe coding, introduced by Andrej Karpathy, lets developers describe software functionality in natural language, letting large language models generate complete code, and the article reviews its concept, three leading 2026 tools (Cursor, Replit, Windsurf), a step‑by‑step workflow, advantages, drawbacks, and future trends.

AI codingLLMVibe Coding
0 likes · 10 min read
How “Vibe Coding” Is Redefining Software Development in 2026
Fighter's World
Fighter's World
Sep 5, 2025 · Industry Insights

AI 2025: Growth, Fragmentation, and the Emerging Moat Landscape

The article analyzes a16z’s 2025 AI round‑table, outlining a new AI‑native growth paradigm, the split between high‑velocity “Supernovas” and sustainable “Shooting Stars,” a prosumer‑driven go‑to‑market shift, and how moats are moving from technical stacks to commercial and workflow integration advantages.

AI industryAI-nativefragmentation
0 likes · 20 min read
AI 2025: Growth, Fragmentation, and the Emerging Moat Landscape
Tencent Technical Engineering
Tencent Technical Engineering
Aug 27, 2026 · Artificial Intelligence

AI Coding Deep Dive: Why Humans Must Retreat to Judgment, Not Code Review

This 20k-word article shares production lessons from building AI coding agents: prompts hit diminishing returns so constraints must move into frameworks; orchestration requires runtime sovereignty; evaluation needs executable criteria like mutation kill rates; humans shift from code review to judgment gates; and nested verification loops replace trust with verifiable facts.

AI coding agentsagent orchestrationevaluation frameworks
0 likes · 77 min read
AI Coding Deep Dive: Why Humans Must Retreat to Judgment, Not Code Review
DeWu Technology
DeWu Technology
Aug 19, 2026 · Artificial Intelligence

How EP-Harness Turns Personal AI Coding into a Team‑Level Agent Workflow

The article analyzes the shortcomings of using AI coding tools individually—such as unreviewed prompts, lost experience, lack of visibility, and broken development loops—and explains how EP-Harness provides a managed‑agent platform with layered architecture, unified execution contracts, context engineering, and loop automation to turn AI agents into governed, team‑wide production assets.

AI AgentsAI codingautomation loop
0 likes · 12 min read
How EP-Harness Turns Personal AI Coding into a Team‑Level Agent Workflow
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 24, 2026 · Artificial Intelligence

What Will AI-Driven Software Engineering Look Like in 2028?

The article analyzes how rapid advances in large language models, multi‑agent systems and tools like FARS are reshaping software engineering toward AI‑intent‑driven development, autonomous testing, and a new human‑AI symbiosis that could overhaul development roles, SaaS business models, and the economics of intellectual labor by 2028.

AIFARSIntent-Driven Development
0 likes · 18 min read
What Will AI-Driven Software Engineering Look Like in 2028?
DaTaobao Tech
DaTaobao Tech
Aug 14, 2026 · R&D Management

Rethinking Collaboration: Insights on Building AI‑Native Teams

The article argues that AI‑driven efficiency gains are limited by fragmented collaboration, proposes a three‑layer "knowledge base + Agent + human" model to replace humans as the sole orchestrators, and details the practical challenges of constructing such knowledge bases in legacy businesses.

AIAI-nativeAgent
0 likes · 20 min read
Rethinking Collaboration: Insights on Building AI‑Native Teams
Go Programming World
Go Programming World
Apr 22, 2025 · Artificial Intelligence

Design and Implementation of an Enterprise‑Grade LLMOPS Platform (EasyAI)

This article presents a comprehensive overview of building an enterprise‑level LLMOPS platform—including concept definitions, the relationship between LLMOPS, MLOps and intelligent agent platforms, four development tiers, architecture layers, core technical concerns, deployment options, and the benefits of cloud‑native AI development.

AI platformCloud NativeDevOps
0 likes · 15 min read
Design and Implementation of an Enterprise‑Grade LLMOPS Platform (EasyAI)
DataFunTalk
DataFunTalk
Jun 30, 2025 · Artificial Intelligence

The AI Coding Boom of 2025: 10,000 Tools Redefining Development

2025 marks the explosive rise of AI coding, with over 10,000 tools transforming development from code writing to code reviewing, introducing concepts like Vibe Coding, and offering diverse IDE and conversational platforms that automate tasks, streamline workflows, and reshape the role of developers across the industry.

AI IDEAI codingLLM Tools
0 likes · 16 min read
The AI Coding Boom of 2025: 10,000 Tools Redefining Development
大转转FE
大转转FE
Jun 15, 2026 · Artificial Intelligence

Programmers’ Skill Shift in the AI Era – Highlights from Frontend Weekly #199

This issue of Zhuanzhuan Frontend Weekly curates five industry articles that examine AI‑driven skill transformation for developers, the rise of Frontline Deployment Engineers, the three‑layer Agentic Engineering model, the distinction between Loop and Harness engineering, and cloud‑native AI‑Native multi‑agent architectures.

AIAI-nativeAgentic Engineering
0 likes · 4 min read
Programmers’ Skill Shift in the AI Era – Highlights from Frontend Weekly #199
DataFunSummit
DataFunSummit
Sep 23, 2025 · Artificial Intelligence

How Large‑Model AI Is Transforming R&D Workflows and Coding Tools

The article examines how large‑model AI is reshaping R&D by advancing intelligent development tools—from early code‑completion assistants like GitHub Copilot to expansive code‑generation platforms—highlighting their evolution, enterprise adoption, practical developer experiences, and future workflow transformations.

Artificial IntelligenceLarge Modelscode generation
0 likes · 4 min read
How Large‑Model AI Is Transforming R&D Workflows and Coding Tools
Yunqi AI+
Yunqi AI+
May 26, 2026 · Artificial Intelligence

How AI‑Native Products Bring Software Closer to the Business Frontline

The article analyzes how AI‑native products reshape traditional software by processing unstructured data with LLMs, adding a semantic layer that understands, calls, outputs, and learns from business context, thereby turning rapid business changes into traceable, reusable system capabilities.

AI-nativeLLMproduct design
0 likes · 18 min read
How AI‑Native Products Bring Software Closer to the Business Frontline