GitLab enhances DevSecOps with new AI-powered capabilities

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Introducing GitLab Duo Chat

GitLab, the top DevSecOps platform, has introduced the debut of GitLab Duo Chat, a cutting-edge AI assistant that uses natural language. Available in beta along with the recent GitLab 16.6 November release, Duo Chat offers users valuable advice, recommendations, and tips during the software development process. Covering tasks such as code analysis, resolving security issues, troubleshooting, and merge requests, Duo Chat is designed to enhance security, productivity, and teamwork.

Code Suggestions now generally available

In the GitLab 16.7 December release, the platform has made GitLab Duo Code Suggestions generally available to its users. This feature assists developers in creating and updating code, reducing cognitive load, enhancing efficiency, and accelerating secure software development. GitLab’s commitment to privacy and transparency in the AI space is highlighted, with 95 percent of DevSecOps professionals prioritizing privacy and intellectual property protection in AI tool selection.

Addressing the needs of development, security, and operations teams

The State of AI in Software Development report by GitLab reveals that developers spend only 25 percent of their time writing code. To address this issue, GitLab Duo aims to reduce toolchain sprawl, enabling 7x faster cycle times, heightened developer productivity, and reduced software spend. Kate Holterhoff, an industry analyst at Redmonk, commended GitLab’s Duo Code Suggestions, stating that it expands the options available for an AI-enhanced software development lifecycle.

GitLab’s AI suite, which includes 14 AI capabilities, demonstrates the platform’s commitment to providing a comprehensive AI-powered experience for DevSecOps teams. The integration of AI across the software development lifecycle allows for improved security, efficiency, and collaboration. With the launch of GitLab Duo Chat and the general availability of GitLab Duo Code Suggestions, GitLab is empowering its users to leverage AI for their development processes.