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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
Mar 7, 2026 · Artificial Intelligence

Will GPT‑5.4 and OpenClaw Replace 80% of Test Engineers Within 2‑3 Years?

GPT‑5.4’s new computer‑use capability combined with the OpenClaw AI‑Agent framework promises script‑free, parallel, visual, self‑healing testing, leading the author to argue that 80% of current test engineers could be displaced in the next two to three years, leaving a specialized 20% to steer intelligent test factories.

AI AgentsAI testingGPT-5.4
0 likes · 13 min read
Will GPT‑5.4 and OpenClaw Replace 80% of Test Engineers Within 2‑3 Years?
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Mar 5, 2026 · Fundamentals

Why Information Theory Is the Mathematical Foundation of Software Engineering 3.0

The article argues that Software Engineering 3.0 is fundamentally a continuous entropy‑reduction process, using information theory to explain how large language models turn ambiguous human intent into precise executable code, why knowledge graphs outperform documents, and how multi‑agent systems improve quality assurance.

AI AgentsLarge Language ModelSoftware Engineering
0 likes · 11 min read
Why Information Theory Is the Mathematical Foundation of Software Engineering 3.0
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Mar 3, 2026 · R&D Management

The Ten Core Principles of Software Engineering 3.0

Software Engineering 3.0 redefines development with ten tightly‑coupled principles that prioritize precise intent, executable acceptance criteria, human‑AI symbiosis, data‑first knowledge, and agentic DevOps, turning the development lifecycle into a self‑evolving, feedback‑rich system.

AIDevOpsIntent-Driven Development
0 likes · 18 min read
The Ten Core Principles of Software Engineering 3.0
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 26, 2026 · Industry Insights

Software Engineering 3.0 Declaration (2026): AI‑Driven Evolution of Development Practices

The 2026 Software Engineering 3.0 Declaration outlines how large‑model AI and autonomous agents are reshaping development roles, software artifacts, and engineering processes, proposing four AI‑centric principles that prioritize business intent, evolvable knowledge, executable contracts, and heterogeneous agent collaboration.

AISoftware Engineeringdevelopment principles
0 likes · 6 min read
Software Engineering 3.0 Declaration (2026): AI‑Driven Evolution of Development Practices
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?
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 20, 2026 · Artificial Intelligence

Google Gemini 3.1 Pro Sets New AI Benchmark with Lower Cost and Higher Speed

Google’s Gemini 3.1 Pro, launched on February 19 2026, undercuts Claude Opus 4.6’s price by more than half while matching its benchmark scores, delivers superior code‑agent and multimodal performance, supports up to 1 million‑token contexts, and introduces enhanced safety and phased rollout, reshaping the AI competitive landscape.

AI benchmarksAgentic AIGemini 3.1 Pro
0 likes · 12 min read
Google Gemini 3.1 Pro Sets New AI Benchmark with Lower Cost and Higher Speed
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 16, 2026 · Artificial Intelligence

Three Years of AI Evolution: From Incremental Gains to Unlimited Capability Frontiers

The article analyzes how, over the past three years, rapid growth in compute, data, and model architecture has turned incremental advances in large language models into qualitative leaps—spanning emergent abilities, world‑model video generation, and agentic AI—suggesting an effectively unbounded frontier for AI capabilities.

AI AgentsAI capability boundariesemergent abilities
0 likes · 18 min read
Three Years of AI Evolution: From Incremental Gains to Unlimited Capability Frontiers
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 13, 2026 · Artificial Intelligence

Coding as Craft Is Dying, AI‑Driven Building Is Booming – OpenClaw Founder’s View

The article argues that traditional deep‑flow coding is fading while AI‑augmented building is soaring, illustrated by Peter Steinberger’s rapid OpenClaw development, METR’s exponential AI task‑completion data, and predictions that most apps will vanish, leaving builders as the new valuable talent.

AI AgentsAgentic EngineeringOpenClaw
0 likes · 16 min read
Coding as Craft Is Dying, AI‑Driven Building Is Booming – OpenClaw Founder’s View
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 11, 2026 · Artificial Intelligence

2025 Large Model Service Performance Report: Near‑100% Success, Rising Throughput, and Falling Prices

The 2025 monitoring report by AIIA and the China Academy of Information and Communications Technology evaluates 42 large‑model services across 13 MaaS platforms, revealing near‑100% call success rates, significant TPS growth, sub‑second latency, increasing open‑source model adoption, and a gradual decline in service pricing.

MaaSOpen‑source ModelsThroughput
0 likes · 11 min read
2025 Large Model Service Performance Report: Near‑100% Success, Rising Throughput, and Falling Prices