GitLab Innovation & Technology Culture

How do your teams stay ahead of emerging technologies or frameworks?

We stay ahead through a combination of hands-on practice and continuous learning. Working on the GitLab AI Duo Agents platform means we’re building the tools we use daily: Agentic Chat, code completions, creating automated MRs from issues. This creates a tight feedback loop between development and real-world usage. This dogfooding approach helps us quickly identify what works and what emerging patterns matter.

Can you share a recent example of an innovative project or tech adoption?

We recently implemented a front-end island architecture using custom elements that allows us to build isolated, self-contained components while running natively in our existing continuous integration and continuous delivery pipelines. This solved a key challenge for GitLab AI Duo features: We needed to iterate quickly without being constrained by our monolithic frontend but couldn’t afford separate deployment infrastructure. By leveraging web standards, we achieved architectural isolation with seamless integration. The islands deploy independently but operate as part of the unified application, enabling rapid experimentation while maintaining production reliability.

How does your culture support experimentation and learning?

Experimentation is actively encouraged through both resources and culture. We have access to various AI tools and platforms to try them out hands-on. There are regular reminders in all-hands meetings and written communications from leadership. Knowledge-sharing is built into our workflow. Engineers create learning videos showing how they use certain tools and what they’ve achieved, making it easy to learn from each other’s experiments. Whether it’s a new framework, prompting technique or unexpected use case, there’s a strong culture of “learn something, share something” that turns individual experimentation into collective knowledge.

GitLab objectively offers the most complete platform in the DevSecOps space, the team culture is very collaborative and the future of this space is very exciting. The world is evolving really fast with the advent of AI and we are positioned at the forefront of enabling our customers to incorporate AI as part of their software development lifecycles.

We don’t have offices anywhere. We collectively built our AI functionality with team members across the world. Our AI features are built with a truly global perspective and collaboration.

GitLab has an experimentation and innovation culture, and it’s rewarding to see that culture in action in our AI capabilities. 

We don't want to innovate for the sake of it. Efficiency means everyone being the manager of their own time and maximizing for input.

GitLab stands out for product managers because everything happens in one platform. We plan, develop, secure, and deliver all within GitLab itself. We get to work on some of the most interesting software development challenges because being part of the one dev sec platform is literally no part of the software development life cycle that we aren't involved in. 

For Greenwood, it’s not GitLabs’ products that energizes him the most — it’s the people behind them. He said that the greatest challenge that lies ahead, and the opportunities that come with it, is harnessing the foundation that’s already in place, aligning the company’s people and culture, and preparing for a future shaped by “explosive growth.

“That intersection of transformation, technology, and people is where I do my best work — and it’s what led me here.”

In the new AI-first era, governance is often overlooked and that’s where GitLab can directly support its clients:

“Our team is currently working on filling that gap by building capabilities to audit actions taken by AI agents and providing a comprehensive analytical dashboard for AI governance.”