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Partner Interview
Published December 18, 2025

GitLab vs GitHub: Switching Costs & AI Impact

Executive Bio

Customer of GitLab

Summary

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Interview Transcript

Disclaimer: This interview is for informational purposes only and should not be relied upon as a basis for investment decisions. In Practise is an independent publisher and all opinions expressed by guests are solely their own opinions and do not reflect the opinion of In Practise.

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This is 2022. You mentioned that some reasons for switching are less relevant today. I assume you mean because GitHub has improved in some areas. They've enhanced on-premise capabilities and integrated GitHub Actions more. Is the logic for switching from GitHub still relevant today, and can you compare the current situation?

Overall, I believe GitLab is a superior product with more features. Our only concern during the migration from GitHub was when AI, particularly OpenAI's exclusivity with Microsoft, introduced Copilot. We worried we might have backed the wrong horse. However, the AI market is now competitive and not limited to any single ecosystem. Initially, when Copilot launched, we returned to GitHub to become Copilot customers. There was concern in our leadership that future Copilot features would be tied to GitHub's ecosystem, but today our developers can choose between GitHub Copilot, GitLab Duo, and Cursor. Fewer developers are choosing GitHub Copilot now, but we'll discuss AI further at a later point.

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You mentioned using the GitLab plan. Has that replaced your use of Jira?

Developers don't really go to Atlassian Jira on their own unless they're forced to do so to make a progress report. Developers enjoy the experience on GitLab because they live within the GitLab UI daily. Planning on GitLab is more streamlined; for instance, when a merge request is reviewed and merged, the issue is marked as done automatically. Developers don't have to update their progress constantly. I'm still working on convincing the product teams to switch.

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Is it Snyk?

If you look at static analysis, the Rolls Royce of static analysis is Checkmarx. For software composition analysis, the Rolls Royce is Snyk, as you mentioned. For dynamic application security analysis, there's another leading product. All of these products are extremely expensive, especially for an organization like ours. We're talking about a ballpark figure of millions of dollars for each to get just coverage of static analysis. A few million dollars for Checkmarx, a few million dollars for Snyk on software composition analysis, and so on.

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