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GitLab, the popular developer and security platform, and AWS, the popular cloud computing and AI service, today announced they are collaborating to integrate GitLab AI duo assistant With Amazon Q independent agents.
The goal here, both companies say, is to accelerate software innovation and developer productivity, and unlike many partnerships in this business, this is actually a fairly deep collaboration between these two companies. This includes joint engineering work to integrate the two platforms and a dedicated sales team.
In practical terms, this means that GitLab users will now be able to use Duo’s chat feature to interact with Amazon Q Developer, which is now integrated directly into GitLab’s chat UI. This means developers can now use Duo to access the many agents available in Amazon Q Developer to help with code reviews, create unit tests, and update their Java applications — or even plan and develop entire features in a multi-step process.
The two companies argue that leveraging Q will allow developers to stay in the flow (without having to maneuver the unwieldy AWS console), all while still getting Q’s help to launch multi-step tasks directly from within GitLab.
“For us, this brings together the best of both worlds: our deep knowledge of (the software development lifecycle), with our unified data store, which becomes really powerful as part of AI — and the breadth of cloud technologies as well as AI agents.” And the services they provide. AWS,” Ashley Kramer, GitLab’s CMSO and interim CRO, told me. “To be able to bring those together, our ultimate goal is to meet future customers and prospects where they are, and that’s often developing their code in GitLab and using the AWS Developer Console and Services.”
Cramer stressed that GitLab continues to work with a variety of other partners as well. This includes Google, which worked with GitLab to integrate it into its developer console, and template providers like Anthropic. But she also noted that she was particularly excited about this partnership with AWS, largely because the two companies have a lot of customers in common.
“We believe this will be the first step in a long, more integrated partnership,” Kramer said. “The first step is to integrate beyond the use cases that we’ve described, as far as one seamless interface, whether it’s the GitLab interface, the IDE, when it comes to GenAI and agent AI, and then we’re looking at more services with AWS that we can integrate more seamlessly as next steps.” In partnership.
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