At the 2025 AI Engineer Summit in New York City, OpenAI redefined AI agents with a critical insight that they require a dedicated runtime with a dynamic lifecycle to function effectively. This realization validates one of Daytona's core theses: traditional cloud architectures cannot efficiently support the demands of agentic AI. Daytona has decided to realign its focus from solving developer environment inconsistencies for humans to solving runtimes for AI agents, leveraging its technology to address the unique challenges of orchestrating runtimes for AI agents that traditional cloud infrastructure wasn't designed for. The company's journey began with a simple yet powerful insight into development environments being inefficient and inadequately automated, leading to the creation of a self-hosted "Development Environment Manager" designed to streamline and standardize development workflows. By mid-2024, three significant industry trends converged, reshaping Daytona's trajectory, including the rise of AI agents, code generation explosion, and infrastructure limitations. Open-sourcing key components proved crucial in building a community that shaped Daytona's strategic direction, focusing on AI agent workflows in December 2024. The technical evolution of Daytona into an AI agent runtime involved improvements in lightning-fast runtime speeds, extensive parallel execution, native machine interface, complete isolation and security, and infrastructure elasticity. The company believes that sandboxes for AI agents are not just nice to have but key to unlocking the potential of agents, positioning itself as essential infrastructure for the emerging era of autonomous AI agents.