This session demonstrates a practical approach to building applications by starting with a system use case and using AI to generate a full-stack Java application. The workflow focuses on evolving features by modifying the specification and observing how the code adapts in real time. It highlights how keeping specifications, code, and tests aligned can improve reliability and reduce inconsistencies.

Through a live, collaborative session, you will see how strong guardrails help reduce hallucinations and maintain consistency between requirements and implementation. The approach is tool-agnostic and can be applied with different AI agents, allowing comparison of outcomes across tools.

What You Will Learn

• How to generate and evolve a full-stack Java application from a use case using AI

• How to keep specifications, code, and tests in sync during iterative development

• How to use guardrails to reduce hallucinations and improve consistency in AI-generated code

Who Should Attend

• Java developers

• Software engineers exploring AI-assisted development

• Software architects

• Engineering teams evaluating spec-driven workflows with AI