What is GitLab Duo with Amazon Q?
GitLab Duo with Amazon Q brings the latter's software development agents directly into your GitLab software development lifecycle, revolutionising how you build and deploy software. This simplifies complex, multi-step tasks, reduces context switching between tools and speeds up your development processes.
How does it help?
GitLab Duo auto-suggests code and tests as your developers work. It will flag any issues early on, before they cause significant hold-ups in production. And it helps your product and engineering teams stay on the same page with real-time summaries and insights.
While the intelligence of Amazon Q means your team has access to features like code generation, explanation, reviews, chat, vulnerability resolution, and root-cause analysis right in GitLab. And because it's designed for a self-managed deployment model, it fits right into your existing AWS infrastructure, making adoption smooth and efficient.
What are the benefits of GitLab Duo with Amazon Q?
Here are just some of the ways GitLab Duo with Amazon Q is transforming the way our clients' teams get their work done:
Modernising legacy code – this integration makes it easier to analyse and modernise your applications by automating the code refactoring process for legacy codebases. You get faster feature implementation, consistent code quality, and a reduced time to production. And GitLab Duo with Amazon Q provides a comprehensive upgrade plan and generates all merge request documentation for a complete audit trail.
Improving quality assurance processes – with automatically generated code reviews that interpret application logic to minimise manual review efforts, you can ensure more consistent quality across your software.
Optimising code reviews – GitLab Duo with Amazon Q streamlines your code review cycles, and improves code merge quality by providing in-line feedback, suggesting improvements, highlighting any security or performance considerations, and ensuring your code is up to standard. It can also prioritise code review tasks based on their impact, complexity, and urgency.
Shorter feedback loops – real-time feedback on code quality, performance, and security also makes it easier to iterate faster and improve your software, driving productivity. AI is not only speeding up processes, but it's enhancing the way your teams communicate and collaborate with each other.
Accelerating feature development – this integration makes it easy to transform new feature ideas from work items into merge-ready code in minutes. It will analyse requirements for you, plan the implementation, and generate a merge request while meeting any internal standards.
Remediating security vulnerabilities – flagging codebase vulnerabilities is one thing, but this AI agent can explain them to you, perform root cause analysis, and suggest code changes for one-click fixes, speeding up your overall vulnerability remediation time.
Speeding up development cycles – automated testing, deployment, and monitoring all help expedite your development process. By predicting bottlenecks and providing solutions in real time, your development cycles will be streamlined and speedier than ever before.
