Navigating AI-Assisted Domain-Driven Design: Opportunities, Risks, and New Ways of Working

Learn about AI-assisted Domain-Driven Design with Gien Verschatse

blog v3 (4)

Join Gien Verschatse on May 6 at 12.30 CET for a session about Domain-Driven Design and AI.

Domain-Driven Design has long held that deep domain knowledge is the foundation of high-quality, maintainable software.

The closer solution builders are to the domain, the better the software they produce.

The rise of AI coding tools, such as Claude Code, introduces a compelling paradox: while AI dramatically reduces the effort required to implement solutions, it risks short-circuiting the learning process that makes DDD valuable in the first place.

When developers use AI to translate domain language into prompts — rather than internalising the knowledge themselves — the fundamental promise of DDD is quietly undermined.

Gien Verschatse, senior consultant at Aardling, will examine that central tension, the difference between using AI to move faster versus using it as a substitute for developing domain expertise.

This session will explore:

  • AI-assisted DDD workflows

  • Cross-functional team compositions, with AI in mind

  • How junior developers risk being left behind and practical remedies

Sign up if you're a software developer, team lead, or technical lead currently using AI in your software systems.