When code is generated instead of written, what changes about how we build software?
AI is no longer sitting on the sidelines of software development. It is actively writing code, suggesting implementations, and shaping production systems across teams of all sizes. In many organizations, it has effectively taken on the role of a junior developer embedded directly in the SDLC. Unlike human developers, AI does not go through onboarding, training, or mentorship, yet it is still contributing to production systems in ways that assume those foundations exist. Traditional assumptions about code review, developer enablement, and secure coding practices are being tested in real time.
In this session, we will explore what it means when AI becomes a core contributor to the development process. We will look at how it is changing the way code is written and reviewed, where gaps are emerging in security and quality, and what organizations can do when they know how to onboard and train an employee, but have no equivalent model for an AI contributor operating inside their workflow.
You will learn:
