Ivan Burazin and Vedran Jukic, co-founders of Daytona, pivot their focus to AI agents and their cloud hosting environments. They delve into the unique infrastructure needs for developing these agents, emphasizing sandboxing for security and isolation. The discussion highlights the practical applications of AI agents in automating software engineering tasks, contrasts Daytona's solutions with traditional methods, and considers the balance between human oversight and autonomous operations in shaping the future of development.
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insights INSIGHT
AI Agents Need Dev Environments
AI agents require their own isolated development environments like humans do.
Daytona pivoted to support these AI agents by providing cloud-hosted sandboxes for running their code safely.
insights INSIGHT
Agents Use Multiverse Sandboxing
Agents operate differently from humans by running multiple sandbox machines in parallel.
This multiverse approach lets agents test many outcomes simultaneously and choose the best path forward.
question_answer ANECDOTE
Agents Playing and Building Games
A customer uses an agent to play video games and another to build them, both requiring isolated environments.
Agents can't run code or install games in their heads; they need proper machines to execute tasks.
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The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in.
A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate.
I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code.
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