Balancing Speed and Safety in Agentic AI Development

Why It Matters

Agentic AI systems can accelerate product capabilities but introduce operational and safety risks that engineering teams must manage. Tech professionals need actionable practices to sustain rapid iteration while preventing harmful or costly agent behaviors.

Latest Changes

• Speakers at AI Dev 26 emphasized accelerating development while acknowledging hidden costs of AI velocity
• Introduction of ADE as a framework for building production-grade agentic systems
• Practical guidance on setting concrete boundaries for safely shipping agents
• Focus on improving data strategies to boost agent performance and reliability

Timeline

• 2026-05-21 — Adit Abraham presented on improving agent performance through better data strategies
• 2026-05-22 — Barun Singh and Kennith Jackson discussed the hidden costs of AI velocity and agentic systems
• 2026-05-22 — David Park detailed building production-grade agentic systems using ADE
• 2026-05-22 — Tushar Jain shared approaches for shipping agents safely with practical boundaries

What to Watch

• Adoption and tooling around ADE for production agent deployments
• Implementation of concrete safety boundaries and their operational effectiveness
• Changes in data pipeline practices aimed at agent reliability and scale