Discover how AI is reshaping software architecture, engineering workflows, and development teams in this session from the Software Architecture Conference 2026, presented by Joseph Guadagno.

The session examines why simply adding AI coding assistants to existing development processes is not enough. As AI becomes an integral part of software development, teams need to rethink their architecture, engineering practices, delivery pipelines, and team structures to take full advantage of AI while maintaining software quality, security, reliability, and maintainability.

The session explores the AI-augmented development stack, including AI-assisted code generation, automated code review, intelligent testing, AI-generated documentation, and AIOps. It also covers architectural approaches for safe and observable AI integration, including abstraction layers, prompt management, fallback and circuit-breaker strategies, human-in-the-loop controls, context management, and Retrieval-Augmented Generation (RAG).

This session is particularly valuable for software architects, engineering managers, senior developers, AI/ML engineers, DevOps professionals, and technology leaders who want to understand how modern engineering organizations can evolve toward AI-native and AI-augmented software development.

Learn how to align software architecture, AI development tools, engineering culture, and team structures to build faster, more reliable, and scalable software systems in the AI era.