Let's change topics to the AI strategy. It seems they're really betting on this dual agent. I forget the exact name, but the dual agent that's going to help guide work in different stages. Everyone's talking it up to investors, and we're all waiting to see what it looks like. How would you rate their likelihood of doing a good job on this? It sounds like a very execution-heavy task. I've heard some people say GitLab has less AI talent compared to other companies. Do you think they can execute well on this dual agent initiative?

From the beginning, I've believed GitLab has a great opportunity to build something interesting. AI is effective when it has the right data set, the right ideas on what to do with it, and the right talent. GitLab has an interesting opportunity with the right data set because it includes the entire audit trail from inception to implementation of DevOps work. This allows for potential automation and efficiency across the board.