This presentation shows how Domain-Driven Design (DDD) turns agentic coding from “prompt spaghetti” into a maintainable engineering approach. Instead of one giant prompt and ad-hoc tools, it proposes bounded contexts for agent responsibilities, a ubiquitous language for consistent tool inputs/outputs, and a context map that makes integrations explicit. Attendees will learn how to design stable tool contracts (ports/adapters), add CI/evaluation gates that keep agents honest, and implement traceability and replay so agent actions remain auditable and debuggable. The result: agentic systems that scale to real codebases and teams without collapsing into chaos.
This talk has been presented at AI Coding Summit 2026, check out the latest edition of this Tech Conference.


















