Case Study: Daytona speeds safe AI-agent code shipping with cubic

Daytona cuts PR review delays with cubic, catching P0 bugs before production

Daytona, a company that builds infrastructure for AI agents, faced the challenge of ensuring code quality and preventing bugs in their complex codebase. Their traditional code review process was slow and becoming a bottleneck, and they needed a reliable way to review a high volume of code, including contributions to their open-source project, without lowering their standards. They turned to the vendor cubic for its AI code review solution.

The solution implemented was cubic's AI code reviewer, which is now a mandatory step in Daytona's process. The tool provides immediate reviews on all pull requests, catching critical bugs that humans often miss, even across different parts of the codebase. This has dramatically accelerated their development cycle and prevented major incidents. The team found over 90% of cubic's comments to be valid, and the tool has saved them significant time on reviewing outside contributions, allowing them to ship code safely at the speed their AI agents produce it.

Daytona