Speed isn't the risk. Lack of control is.

A recent discussion with LaunchDarkly executives, including CEO Edith Harbaugh, CTO Cameron Etezadi, and Head of AI Marek Poliks, highlighted the challenges of managing AI agents in production environments, emphasizing the transition from traditional software development to AI-driven processes. The conversation explored how AI agents change the dynamics of software creation, as these agents can autonomously update behaviors and outputs without human intervention, moving beyond the conventional build-test-deploy-monitor-fix cycle. The need for runtime control in managing AI agents was underscored, with a demonstration of AgentControl, a tool designed to automatically correct agent behavior in production without redeploying. This approach allows teams to optimize agent performance across various metrics while maintaining customer experience integrity. LaunchDarkly’s internal project, Fairytale, revealed that integrating structure, checkpoints, and human oversight enhances the performance and speed of AI agents, challenging the notion that AI development necessitates a trade-off between velocity and safety. The company is offering an interactive workshop, Runtime Labs, for participants to explore and experiment with runtime control concepts in AI systems.

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