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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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Recent Articles

Latest from Software Engineering 3.0 Era

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Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 7, 2026 · Artificial Intelligence

Why the ‘AI Only Handles Simple Tasks’ Myth Is Fundamentally Wrong

The article debunks the popular claim that AI should be limited to simple, repetitive work, showing that large‑model AI differs from traditional automation by understanding complex information, processing massive codebases, solving scientific problems like protein folding, and outperforming human experts across many domains.

AIAlphaFoldSoftware Engineering
0 likes · 11 min read
Why the ‘AI Only Handles Simple Tasks’ Myth Is Fundamentally Wrong
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 3, 2026 · Industry Insights

Why Regression Testing No Longer Looks Like Regression: Test Engineers’ AI‑Driven Reality Check

Interviews with test engineers across internet, telecom, and tool‑software firms reveal that AI is automating routine test case creation and script generation, pushing developers toward full‑stack roles and shrinking manual testing work, while the remaining value lies in human judgment, risk modeling, and evidence‑based verification.

AIIndustry SurveyJudgment
0 likes · 9 min read
Why Regression Testing No Longer Looks Like Regression: Test Engineers’ AI‑Driven Reality Check
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 19, 2026 · Industry Insights

Is WAIC 2026 Robot Expo Just Hype or a Sign of Real Growth?

The WAIC 2026 robot exhibition showcased record numbers of robots and exhibitors, but only a minority demonstrated clear industrial value, while the analysis breaks down four scenarios—industrial, commercial service, special‑emergency, and consumer—to reveal which segments are truly thriving and which remain mere showmanship.

WAIC2026emergency robotsindustrial robots
0 likes · 15 min read
Is WAIC 2026 Robot Expo Just Hype or a Sign of Real Growth?
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 13, 2026 · Artificial Intelligence

How to Build SKILLs for Multi‑Agent AI Coordination

The article explains the concept of SKILL—a rule‑based, evidence‑driven “work instruction package” that orchestrates multiple AI agents such as Claude, Codex, and Cursor through three layers (orchestration, execution, domain) to automate requirement decomposition, code generation, testing, deployment, and monitoring, showing how Quark achieved 3000+ automated tasks with a 75% code‑output rate.

AI orchestrationSKILL frameworkcontinuous integration
0 likes · 9 min read
How to Build SKILLs for Multi‑Agent AI Coordination
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 testingKnowledge Engineeringautomation
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 AgentsLoop EngineeringSoftware 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 GovernanceAI engineeringEnterprise AI
0 likes · 12 min read
Enterprise‑Level FDE Knowledge Framework: From Business Insight to AI Engineering Delivery