AI is accelerating software creation faster than organizations can safely operationalize it, increasing the demand for effective platform engineering. In this talk, Daniel Bryant explores why platform architecture is now as important as software architecture, introducing a practical three-layer model spanning applications, platform capabilities, and infrastructure. Attendees will learn how to design platforms as products, measure their impact, and create self-service capabilities that maximize the flow of value for both developers and AI-powered systems.
Key takeaways
- Every-day engineering trade-offs can directly shape real-world outcomes, not just technical ones.
- Supply chain weaknesses turn small decisions into large, downstream failures you still own.
- “Risk” is a comforting abstraction that hides who actually gets hurt when systems fail.
- You can delegate code and tools, but not responsibility for consequences.
- Many software teams are now operating safety-critical systems—whether they realise it or not.