Developer Productivity for the AI Native

AI is changing how software gets built, and no one has a clean map for what comes next. For developers, there is a universal uncertainty that shows up in the tools they use, the work they are tasked with, the environments they need to operate in, and expectations of delivery.

This session dives into how scale-focused platform engineering teams can stay ahead in the Age of AI. As developers take on longer, more autonomous work alongside agents, there is no standardised, secure environment built to support that kind of work. At the same time, agentic AI is being adopted faster than the tooling around it can mature. Governance and support of multiple models tend to become afterthoughts.

Join us for a deep dive into GovTech’s Developer Productivity and Services (DPS) team as a live case study. Learn how the team builds next-generation developer tooling for development environments, by building alongside engineers, not ahead of them. We will share how GovTech architects a well-supported agentic setup that works for us. Our speakers will also discuss what such environments should look like, balancing seamless DevEx with engineering considerations and trade-offs without losing meaningful control.