Development and Operations used to be two separate worlds. DevOps changed that, bringing them together and reshaping the entire software development lifecycle.

Now AI is entering the SDLC. But what happens when it moves beyond simply generating code?

In this talk, we’ll explore how AI is changing the way we develop software, why the context we produce throughout the SDLC is becoming a critical engineering asset, and how practices such as issue tracking, documentation, testing, and automated verification take on a whole new value in an AI-augmented environment.

We’ll look at the emergence of context debt, why generation can scale faster than human review, and how the role of developers changes with seniority as execution increasingly gives way to context, constraints, judgment, and supervision.

Is this just another redistribution of tasks, or are we witnessing another fundamental transformation of the software development lifecycle?