Daytona
23 Case Studies
A Daytona Case Study
Mintlify, a leading agentic documentation platform, faced the challenge of scaling its AI agents. The company needed to deploy its agents in secure, stateful, and long-running sandboxes to analyze code and generate documentation, but building and orchestrating this infrastructure in-house would have required a massive engineering effort. This led them to partner with Daytona for a managed runtime solution.
Daytona provided a solution that streamlined the provisioning of fast and secure sandboxes. This enabled Mintlify to power critical features like 'Docs from GitHub,' dynamically spinning up over 1,000 concurrent sandboxes in minutes with creation times under 90 milliseconds. The implementation with Daytona saved Mintlify months of engineering time and provided the scalable infrastructure needed to handle massive traffic spikes and support future agentic deployments.