Where AI Stands in Software Development

The first 3 AImigo conversation compares three practical lenses: AI4SDLC, AI-Assisted Engineering adoption, and management of a large engineering organisation.

The co-hosts discuss why individual acceleration does not automatically improve team flow, how startups and enterprises experience the transition differently, and when experiments become repeatable practice.

Their central conclusion is that cheaper code raises the bar for framing, context, architecture, validation, and accountability: AI has to be designed into the whole engineering system.