The use case: how Mintlify deploys Daytona
Mintlify uses Daytona to provision isolated, long-running, stateful sandboxes in which its AI agents clone repositories, analyze code and generate documentation. This powers its 'Docs from GitHub' feature and inline agentic documentation requests, such as those raised from Slack threads.
More reported results
Figures published in Daytona’s case study. They are not independently measured by usedby.
1K+ parallel sandboxes provisioned in minutes with Daytona
<90 millisecond sandbox creation times
In the customer’s words
We needed a way to migrate our core agentic workflows to sandboxes, and Daytona didn’t disappoint. Without their lightning-fast provisioning and continuous support, shipping our 'Docs from GitHub' feature in one quarter simply wouldn't have been possible.Other AI tools used by Mintlify
Other public relationships recorded on usedby.
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Daytona users in DevTools & Infrastructure
Companies in the same sector, with public evidence.
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Go straight to the source
Based on Daytona’s published case study. We check the public evidence; the results are reported by the vendor.
daytona.io- Last checked
- Oct 27, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 3 monthsChecked
Printed word for word on the page, near the name of Mintlify.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Mintlify.
- Mintlify uses DaytonaChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
As demand surged, the team used Daytona to dynamically spin up more than 1,000 concurrent sandboxes.