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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 14, 2025 · Artificial Intelligence

Claude Code vs Cursor: Two Diverging Paths Shaping the Future of AI Programming

The article compares Claude Code and Cursor, contrasting their philosophies, product strategies, technical implementations, user‑experience designs, business models, and attitudes toward AGI, to illustrate two distinct visions for the future of AI‑assisted programming and what they mean for developers.

AGIAI programmingClaude Code
0 likes · 11 min read
Claude Code vs Cursor: Two Diverging Paths Shaping the Future of AI Programming
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 3, 2025 · Cloud Native

Adaptive Intent-Driven Development: Giving Complex Systems an Autonomous Soul

The article introduces Adaptive Intent-Driven Development (AIDD), a declarative methodology that lets developers state desired outcomes and lets autonomous control loops continuously reconcile reality with intent, illustrated through Kubernetes, SDN, and auto‑scaling examples, and highlights its resilience, productivity, and future AI integration benefits.

Adaptive Intent-Driven DevelopmentKubernetesSDN
0 likes · 10 min read
Adaptive Intent-Driven Development: Giving Complex Systems an Autonomous Soul
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 2, 2025 · Artificial Intelligence

How ByteDance’s TRAE Agent Redefines AI-Powered Software Engineering

ByteDance’s TRAE Agent achieves a record 75.20% success on the SWE‑bench benchmark by bridging the “complexity gap” between function‑level and repository‑level tasks through a three‑stage pipeline—patch generation, pruning, and selection—augmented with ensemble reasoning, multi‑model integration, and a novel test‑time scaling mechanism.

AI AgentsSWE-benchSoftware Engineering
0 likes · 14 min read
How ByteDance’s TRAE Agent Redefines AI-Powered Software Engineering
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 31, 2025 · Fundamentals

Generating a Software Testing Knowledge Graph with a Large Language Model

The article recounts a 2016 hand‑crafted software testing panorama, then shows how the Claude 4 Sonnet Think model can automatically produce several versions of a software testing knowledge graph, analyzes its entity hierarchy and relationships, critiques gaps, and outlines future plans to store the graph in a database for enhanced testing education.

Claude 4 SonnetLarge Language Modelknowledge graph
0 likes · 6 min read
Generating a Software Testing Knowledge Graph with a Large Language Model
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 28, 2025 · Artificial Intelligence

How Enterprise AI Agents Move From Efficiency Silos to Value Resonance

The article explains how enterprise AI agents shift from a command‑response model to a goal‑execution paradigm, outlines a layered LLM architecture, tool integration, and memory systems, and demonstrates three practical use cases that create clear value loops for R&D, marketing, and customer service.

AI AgentsEnterprise AILLM Architecture
0 likes · 13 min read
How Enterprise AI Agents Move From Efficiency Silos to Value Resonance
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 20, 2025 · Artificial Intelligence

From Vibe Coding to Kiro Spec-Driven Development: Bringing Engineering Determinism to AI Projects

The article contrasts the chaotic, prompt‑driven "Vibe coding" approach with Kiro's Spec‑driven development, explaining how a two‑session model—Vibe for creative exploration and Spec for deterministic engineering—structures AI projects from project‑level documentation to runtime execution, improving reliability and traceability.

AI engineeringKiroRunner
0 likes · 10 min read
From Vibe Coding to Kiro Spec-Driven Development: Bringing Engineering Determinism to AI Projects
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 18, 2025 · Artificial Intelligence

OpenAI Unveils Unified ChatGPT Agent—How a 10‑20 Person Startup Can Rival Tech Giants

OpenAI combined Operator, Deep Research, and ChatGPT into a single agent that can browse the web, run code, and generate PPT or Excel files, achieving record scores on HLE, FrontierMath, BrowseComp and SpreadsheetBench, while demonstrating real‑world tasks like wedding planning and sticker ordering, highlighting AI as a productivity lever for small teams.

AI AgentsAI leverageBenchmark
0 likes · 11 min read
OpenAI Unveils Unified ChatGPT Agent—How a 10‑20 Person Startup Can Rival Tech Giants
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 12, 2025 · Product Management

Breaking the Requirement Engineering Deadlock: 3 Practical Strategies for Software Teams

The article outlines three concrete steps—using a Y‑model to uncover true user goals, turning vague requirements into testable scripts with evidence (and AI assistance), and treating the system like a fitness program—to help software teams stop requirement chaos and deliver real business value.

AI assistanceY modelfeature fitness
0 likes · 9 min read
Breaking the Requirement Engineering Deadlock: 3 Practical Strategies for Software Teams