Software Architecture Superstream: Optimizing AI Architecture Capabilities
by Neal Ford, Bryan Oliver, Brian Sletten, Venkat Subramaniam, Nathaniel Schutta, Rebecca Parsons, Vlad Khononov
Overview
As software systems grow more complex and demands for agility and scalability increase, architects must rethink how fundamental architecture capabilities are defined, measured, and evolved. With the rise of AI and automation, performance, scalability, reliability, and maintainability are no longer just outcomes, they’re dynamic parameters that can be influenced and optimized throughout the lifecycle.
Join us to explore how AI is changing the way architecture capabilities are understood and applied. From architecture as code to AI-powered design and collaboration, this session will examine the tools, techniques, and mindsets that help architects create adaptive, intelligent systems. Gain insights into how you can harness AI to enable smarter decision-making, accelerate iteration, and ensure your systems stay resilient, secure, and aligned with evolving business needs.
What you’ll learn and how you can apply it
- How AI is changing the way architecture capabilities are understood and applied, and what that means for you as an architect
- Why a human-first and AI-next approach to exploring architectural characteristics can be more fruitful, and where you might implement this approach
- What issues are faced by modern AI deployments and how data-driven systems can be protected by both conventional and modern thinking
Recommended follow-up
- Read Architecture as Code (early release book)
Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
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