Giving Agents Computers — Ivan Burazin, Daytona
type: NewsArticle
description: Daytona CEO Ivan Burazin announced the company's pivot from human development environments to AI sandboxes, positioning its infrastructure as the "end of localhost" for AI agents. The company now provides composable, stateful computers that agents access via API, with one customer running nearly 850,000 sandboxes daily and reinforcement learning workloads surging from zero to roughly 50% of usage in months. Daytona's bare-metal architecture spins up a sandbox in about 60 milliseconds and 50,000 sandboxes in roughly 75 seconds, as the AI industry shifts from disposable code execution boxes to persistent, scalable agent computers.
date published: 2026-05-21 20:37:40+00:00
date modified: 2026-05-25 00:18:45.079706+00:00
language: en
is accessible for free: true
article body: *Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!* On the product side, everyone is getting Computer - [Perplexity](https://www.perplexity.ai/computer), [Manus](https://manus.im/blog/manus-cloud-computer), [Cursor](https://www.latent.space/p/cursor-third-era), and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer ([Harbor](https://x.com/swyx/status/2027213347570188635)). On both ends, the consolidating [LLM OS stack ](https://news.smol.ai/frozen-issues/25-05-27-mistral-agents.html)has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it. * “The end of localhost”* has been Ivan Burazin’s obsession for more than a decade. Something that is all too familiar… Long before agents became the default way people talked about software development, Ivan was already chasing the idea that **development should not depend on a fragile local machine**. * CodeAnywhere*, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax. The thesis was directionally right, but the market wasn’t ready yet. However, agents changed that. **They do not care about a laptop, desk setup, or favorite editor.** They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires. Daytona isn’t just selling *“sandboxes”* in the narrow code-execution sense. It is **the latest version of Ivan’s original localhost thesis**. In this episode, Daytona’s CEO joins swyx to explain **why AI agents need more than code execution boxes**: they need composable computers, stateful sandboxes, inst…
publisher: Web Pulse
keywords: ai-agents, ai-infrastructure, ai-tools, ai-startups, ai-products
mentions: Ivan Burazin
mentions: Daytona
mentions: Perplexity
mentions: Manus
mentions: Cursor
mentions: CodeAnywhere
mentions: Harbor
mentions: TerminalBench
citation: CreativeWork