Tools-in-Action30min
The Importance of HITL to Avoid Chaos and EU Regulations for AI
The talk explains Human-in-the-Loop design for AI coding agents in enterprise workflows, covering approval gates, audit trails, compliance with the EU AI Act, and failure risks in microservices. It offers practical patterns for adding human checkpoints to CI/CD without sacrificing speed or control.
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Juan Antonio Breña 🇪🇸🇪🇺IG
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Tuesday, October 6, 18:20-18:50
TBA 5
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AI coding agents are rapidly becoming first-class citizens in enterprise software workflows. Teams are already delegating consequential decisions to autonomous agents: generating database migrations, refactoring service boundaries, modifying schemas, producing runbooks, and calling external tools. But as agent autonomy grows, a critical question emerges — who is responsible when something goes wrong?
This talk explores the discipline of Human-in-the-Loop (HITL) design, and how to build AI-assisted workflows that keep humans meaningfully in control without sacrificing the productivity gains that make agents worth adopting in the first place. It also examines the growing body of EU regulation that makes HITL not just a good engineering practice, but a legal requirement for certain classes of systems.
The session will demonstrate these concepts through a realistic microservices scenario — a Java enterprise platform with AI-assisted delivery — showing how the absence of human oversight leads to cascading failures, and how a well-designed HITL architecture, grounded in both engineering discipline and regulatory awareness, would have prevented them. Attendees will leave with a concrete framework for moving fast with AI agents without losing control of their systems or their compliance posture.
This talk explores the discipline of Human-in-the-Loop (HITL) design, and how to build AI-assisted workflows that keep humans meaningfully in control without sacrificing the productivity gains that make agents worth adopting in the first place. It also examines the growing body of EU regulation that makes HITL not just a good engineering practice, but a legal requirement for certain classes of systems.
The session will demonstrate these concepts through a realistic microservices scenario — a Java enterprise platform with AI-assisted delivery — showing how the absence of human oversight leads to cascading failures, and how a well-designed HITL architecture, grounded in both engineering discipline and regulatory awareness, would have prevented them. Attendees will leave with a concrete framework for moving fast with AI agents without losing control of their systems or their compliance posture.
Juan Antonio Breña 🇪🇸🇪🇺
From programming microservices to leading engineering teams: this is how I've spent my last 20 years in technology as a Java/Spring ecosystem specialist. My career has evolved from designing cloud-native architectures and migrating legacy systems to leading engineering teams focused on high-quality results and efficient processes.