0:00 Introduction and why we have been writing software the same way
0:11 How artificial intelligence exposes the limitations of current systems
0:36 Moving from static systems to systems that can think and decide
1:06 The camera and paper analogy to explain technological leaps
2:06 Why traditional websites are predictable and easy to extract
2:28 The idea of the UI evolving into an intelligent agent
3:23 The traditional architecture of UI, API, and database
4:09 Introducing the Software Engineering 2.0 architecture
5:06 From API endpoints to skills and capabilities
7:27 The role of the orchestrator agent in building responses dynamically
8:38 How UI agents interpret intent and adapt behavior
9:27 Why static services no longer define modern systems
9:56 The impact of this shift on jobs and skill sets
10:33 What engineers need to learn in this new paradigm
11:25 Dynamic code generation and real time execution
12:19 Closing thoughts and the future of software engineering

We have been building software the same way for decades, following a pattern that feels natural but is no longer sufficient for what is coming next. Most systems today are still based on a simple flow where a user interface calls an API, which then retrieves data from a database. This model has served us well, but it is fundamentally static. It responds to requests, but it does not understand them.

Artificial intelligence is beginning to expose the limitations of this approach. It shows us that software can evolve into something far more dynamic. Instead of systems that simply return predefined responses, we can build systems that interpret intent, adapt to context, and make decisions in real time. This is the foundation of what I call Software Engineering 2.0.

In this video, I introduce a new architectural model based on agents. A UI is no longer just a collection of components, but an agent that understands the user and shapes the experience dynamically. The backend is no longer a set of fixed services, but an orchestrator agent that composes behavior in real time. Data is no longer exposed directly through endpoints, but through resource agents that provide controlled capabilities and skills.

This shift changes how we think about everything, from security and scalability to how we design systems and even how we define the role of a software engineer. We move away from building static, predictable systems and toward building adaptive, intelligent systems that can evolve alongside the users they serve.

This video is the starting point of a series where I will explore these ideas in depth and show how to design and build systems that operate in this new paradigm.

We Are .NET

A conceptual introduction to what the author calls 'Software Engineering 2.0' — a vision where traditional static architectures (database → API → frontend) are replaced by multi-agent systems. The proposed model consists of a UI agent, an orchestrator agent, and resource agents that expose 'skills' instead of fixed endpoints. Services are generated dynamically at runtime based on context, user history, and intent rather than serving static responses. The author argues that junior engineers building in the classic style are at risk, and that the future belongs to those who can design agent capabilities, skills, and security policies.

Software Engineering 2.0 - The End of APIs and Static Systems