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TonyBai
TonyBai
Feb 21, 2026 · Industry Insights

Compound Engineering: The AI‑Native Software Development Philosophy Redefining Code

Compound Engineering proposes an AI‑native development loop—Plan, Work, Review, Compound—where each iteration captures knowledge, replaces code as the primary asset, and leverages autonomous agents for planning, concurrent execution, and multi‑dimensional review, aiming to turn development speed into accelerating growth rather than decay.

AI-Native DevelopmentAgentic AICompound Engineering
0 likes · 14 min read
Compound Engineering: The AI‑Native Software Development Philosophy Redefining Code
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 8, 2025 · Artificial Intelligence

From Generative to Agentic AI: Building AI‑Native Enterprise Applications

This article examines the rapid evolution of artificial intelligence—from Generative AI to Agentic AI—and explains how enterprises can adopt AI‑Native development models, address full‑stack challenges, upgrade data infrastructure, and leverage Chat BI and LangStudio platforms to create intelligent, data‑driven applications.

AI-nativeAgentic AIChat BI
0 likes · 18 min read
From Generative to Agentic AI: Building AI‑Native Enterprise Applications
DataFunSummit
DataFunSummit
Sep 21, 2025 · Artificial Intelligence

How Large‑Model AI Is Transforming Software Development Tools

This article explores how large‑model AI is reshaping R&D by evolving intelligent development tools—from early code‑completion assistants like GitHub Copilot to advanced code‑generation platforms that automate larger portions of the software engineering workflow.

AIcode generationintelligent tools
0 likes · 4 min read
How Large‑Model AI Is Transforming Software Development Tools
Tencent Technical Engineering
Tencent Technical Engineering
Oct 27, 2025 · Artificial Intelligence

How AI Programming Is Transforming Software Development – A Practical Guide

This article explores the strategic impact of AI‑assisted coding, outlines a comprehensive AI × SDLC methodology, showcases three real‑world scenarios—from end‑to‑end development pipelines to Figma‑to‑code automation and backend system evolution—while highlighting practical tips, pitfalls, and organizational changes needed to fully harness AI programming.

DevOpsprompt engineeringquality assurance
0 likes · 71 min read
How AI Programming Is Transforming Software Development – A Practical Guide
AI Architecture Hub
AI Architecture Hub
May 4, 2026 · Artificial Intelligence

Karpathy Unpacks the AI Programming Revolution: From Vibe Coding to Agentic Engineering

In a detailed interview, Andrej Karpathy traces the evolution of AI‑assisted software development, contrasting early Vibe Coding with the emerging Agentic Engineering paradigm, explains Software 3.0’s workflow, highlights the limits of current LLMs, and outlines future opportunities for AI‑native engineers.

AI programmingAI-native engineerLLM
0 likes · 24 min read
Karpathy Unpacks the AI Programming Revolution: From Vibe Coding to Agentic Engineering
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 11, 2026 · R&D Management

How Kuaishou Crossed Three Chasms and Discovered Four Rules to Build an AI Productivity System

Kuaishou’s analysis reveals that increasing developer count reduces AI efficiency gains, identifies three layers of human friction, three organizational gaps, and four AI‑native principles, and demonstrates a four‑quadrant framework that boosted AI code generation and demand delivery by up to fourfold.

AI adoptionAI productivityAI-native
0 likes · 12 min read
How Kuaishou Crossed Three Chasms and Discovered Four Rules to Build an AI Productivity System
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-nativeKnowledge BaseSoftware Engineering
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 programmingDigital EmployeeLLM
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 codingLLMproductivity
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 codingContext Engineering
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.

AIFARSMulti-Agent Systems
0 likes · 18 min read
What Will AI-Driven Software Engineering Look Like in 2028?