In this foundational workshop, you'll gain a clear understanding of modern software architecture principles tailored for the age of AI-assisted development. Whether you're building new applications or evolving existing systems, architectural thinking is more important than ever in a world where AI is transforming how we write and maintain code.

We will cover the core principles of modular, scalable, and testable system design, and explore how AI tools, from copilots to code generators, impact architectural decisions. You'll learn how to design clean, evolvable codebases that embrace automation without losing control of structure, quality, or maintainability.

Through hands-on exercises and real-world case studies, you'll walk away with practical knowledge to apply in your daily work, whether you're building microservices, monoliths, or hybrid architectures powered by intelligent components.

What You'll Learn

• Core Architectural Patterns: Learn how to apply proven patterns like layered, hexagonal, and event-driven architectures in AI-supported workflows.
• Designing for AI: Understand how AI assistants change the way we model, refactor, and document systems, and how to use them effectively.
• Trade-offs and Boundaries: Make better decisions around coupling, cohesion, team ownership, and long-term evolution of codebases.
• Architecture as Code: Discover tools and techniques for modeling and validating your architecture using modern developer workflows.
• AI Integration Points: Explore where and how to integrate AI-powered services, models, and APIs within robust software architectures.

Who Should Attend

Developers, tech leads, and architects who want to build strong architectural foundations while embracing AI-assisted tooling. No prior AI experience is required, just a passion for clean, thoughtful system design.

Future-proof your codebase and your career. Join us to master the fundamentals of software architecture for the AI-assisted era.