Software Engineering 3.0 Era
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Software Engineering 3.0 Era

With large models (LLMs) reshaping countless industries, software engineering is leading the charge into the Software Engineering 3.0 era—model-driven development and operations. This account focuses on the new paradigms, theories, and methods of SE 3.0, and showcases its tools and practices.

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Latest from Software Engineering 3.0 Era

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Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 6, 2026 · Artificial Intelligence

From Feasibility to Self‑Evolution: Four‑Stage Intelligent UI Test Case Generation

The article analyzes Kuaishou’s four‑stage evolution—from a feasibility‑only LLM prompt to a self‑evolving multi‑agent system—showing how AI‑driven test case generation, knowledge injection, and automated review dramatically improve coverage, adoption, and maintenance efficiency in UI testing.

AI testingAutomationknowledge engineering
0 likes · 22 min read
From Feasibility to Self‑Evolution: Four‑Stage Intelligent UI Test Case Generation
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 2, 2026 · Artificial Intelligence

Understanding Loop Engineering Through 16 Humorous Illustrations

The article explains the evolution from Prompt to Loop Engineering, outlines the three‑layer nested loop model, details core components such as Spec and Eval, presents production‑grade design patterns, risk controls, and practical steps for building autonomous AI‑driven development loops.

AI agentsAutomationLoop engineering
0 likes · 14 min read
Understanding Loop Engineering Through 16 Humorous Illustrations
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 29, 2026 · Artificial Intelligence

Enterprise‑Level FDE Knowledge Framework: From Business Insight to AI Engineering Delivery

This article outlines a comprehensive enterprise‑grade FDE knowledge system covering AI deployment roles, business insight, large‑model fundamentals, prompt and context engineering, ontology modeling, agent‑based workflows, production‑grade engineering, quality assurance, governance, and organizational asset management.

AI engineeringAI governanceAgent workflow
0 likes · 12 min read
Enterprise‑Level FDE Knowledge Framework: From Business Insight to AI Engineering Delivery
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 21, 2026 · Fundamentals

What Is the First Principle of Software Engineering and Why It Matters

The article explains that software engineering’s recurring problems stem from three inherent contradictions—state‑space explosion versus human cognition, inevitable iteration versus entropy, and collective production versus information loss—and presents a four‑layer failure model and a concrete first‑principle framework to guide sustainable system design, even in the AI era.

AI ToolsSoftware Engineeringcomplexity management
0 likes · 14 min read
What Is the First Principle of Software Engineering and Why It Matters
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 18, 2026 · Industry Insights

Why Business Ontology, Not Models, Is the Real Scarce Asset in Enterprise AI

The article argues that as large models become commoditized, the true bottleneck for enterprise AI shifts to building a clear, computable business ontology and the Forward Deployed Engineers who can translate chaotic business processes into actionable, governed systems, making ontology the most valuable strategic asset.

AI DeploymentBusiness MappingData Governance
0 likes · 15 min read
Why Business Ontology, Not Models, Is the Real Scarce Asset in Enterprise AI
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 15, 2026 · Artificial Intelligence

Type Three Letters to Let an AI Team Code for You

The article examines Oh My OpenAgent’s “ulw” command, which triggers a fully automated, multi‑agent AI development pipeline that writes, tests, documents, and secures code without human intervention, compares its speed and quality to traditional AI assistants, and extracts engineering lessons for building reliable, cost‑effective AI‑driven development platforms.

AI programmingAutomationSoftware Engineering
0 likes · 16 min read
Type Three Letters to Let an AI Team Code for You
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 8, 2026 · Artificial Intelligence

2026: The Watershed Year When AI Coding Redefines Programming Logic

In 2026, AI-driven development moves from simple code suggestions to autonomous, collaborative multi‑agent teams that can understand requirements, design, code, test, and self‑correct, turning programming into an industrialized, process‑focused practice where engineers act as overseers rather than sole coders.

AI codingSoftware Engineeringcloud development
0 likes · 8 min read
2026: The Watershed Year When AI Coding Redefines Programming Logic