Most conversations about AI and software engineering focus on code generation. But senior engineers know the harder problem is not writing more code, it is coordinating more change safely.

As agentic workflows become part of the engineering process, teams will need frameworks and architectures that are predictable, explicit, and easy for both humans and AI systems to reason about. This is where Angular has a real advantage, and we'll cover its new AI features!

In this talk, we’ll explore why Angular’s structured, convention-driven architecture makes it uniquely positioned for the era of autonomous engineering. We’ll look at how Angular can help teams scale AI-assisted development, support coding agents, reduce ambiguity, and build systems that remain understandable as engineering throughput increases.

We’ll cover deterministic vs. non-deterministic systems, workflow orchestration, supervision loops, AI-driven SDLCs, and the Angular patterns that can help teams build at scale without losing control.