[{"data":1,"prerenderedAt":712},["ShallowReactive",2],{"/en-us/blog/gitlab-ai-assisted-features/":3,"navigation-en-us":37,"banner-en-us":454,"footer-en-us":469,"Sid Sijbrandij":680,"next-steps-en-us":697},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":27,"_id":30,"_type":31,"title":32,"_source":33,"_file":34,"_stem":35,"_extension":36},"/en-us/blog/gitlab-ai-assisted-features","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"GitLab details AI-assisted features in the DevSecOps platform","In a fireside chat, CEO and co-founder Sid Sijbrandij shared demos of AI-assisted features available today in gitlab.com.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749669077/Blog/Hero%20Images/ai-fireside-chat.png","https://about.gitlab.com/blog/gitlab-ai-assisted-features","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"GitLab details AI-assisted features in the DevSecOps platform\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Sid Sijbrandij\"}],\n        \"datePublished\": \"2023-05-03\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Sid Sijbrandij","2023-05-03","\nThis morning, GitLab’s Chief Financial Officer Brian Robins and I led a fireside chat focused on [GitLab’s AI strategy](https://ir.gitlab.com/news-releases/news-release-details/gitlab-hold-ai-fireside-chat-sid-sijbrandij), AI’s role in solving customer pain points, and our AI product roadmap.\n\nAI marks a big industry shift that will make it easier to develop, secure, and operate software. We plan to infuse AI throughout the software development lifecycle by incorporating it into our comprehensive enterprise DevSecOps platform.\n\nWe will lead with a customer-centric approach focused on privacy first, where customers know their intellectual property is secured. One way we are accomplishing this is with [our recently announced generative AI partnership with Google](https://about.gitlab.com/press/releases/2023-05-02-gitLab-and-google-cloud-partner-to-expand-ai-assisted-capabilities.html). This will allow GitLab to use Google's generative AI foundation models to provide customers with AI-powered offerings within our cloud infrastructure. We’ll maintain our commitment to protecting user privacy by containing customer intellectual property and source code within GitLab's cloud infrastructure.\n\nWatch the AI fireside chat:\n\n\u003C!-- blank line -->\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/ejWeMdVz8Nk\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen>\u003C/iframe>\n\n\u003C/figure>\n\u003C!-- blank line -->\n\nDuring the fireside chat, we introduced AI-assisted features available to GitLab customers today on gitlab.com. We provided a live demo of these capabilities that can be utilized by everyone throughout the software development lifecycle. \n\n![List of AI-assisted capabilities](https://about.gitlab.com/images/blogimages/ai-assisted-capabilities-detailed.png){: .shadow}\n\nWe also discussed how these capabilities are focused on three personas: development, security and operations teams, and have features available for all users. Watch the demos for these capabilities available on gitlab.com today:\n\n\u003C!-- blank line -->\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe width=\"560\" height=\"315\" src=\"https://www.youtube-nocookie.com/embed/ILJeqWoVswM\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen>\u003C/iframe>\n\u003C/figure>\n\u003C!-- blank line -->\n\n## AI for Developer Teams \n\n### Code Suggestions\n- Enables developers to write code more efficiently by viewing code suggestions as they type. \nLearn more about [Code Suggestions](/blog/ai-assisted-code-suggestions/).\n\n### Suggested Reviewers\n- Helps customers receive faster and higher quality reviews by automatically finding the right people to review a merge request.\nLearn more about [Suggested Reviewers](https://docs.gitlab.com/ee/user/project/merge_requests/reviews/data_usage.html).\n\n### Summarize MR Changes\n- Helps merge request authors to drive alignment and action by efficiently communicating the impact of their changes.\nLearn more about [Summarize MR Changes](/blog/merge-request-changes-summary-ai/).\n\n### Summarize My MR Review\n- Enables better handoffs between authors and reviewers and helps reviewers efficiently understand many merge request suggestions. \nLearn more about [Summarize My MR Review](/blog/summarize-my-merge-request-review/).\n\n## AI for Security and Operations\n\n### Explain This Vulnerability\n- Helps developers remediate vulnerabilities more efficiently and uplevel their skills, enabling them to write more secure code.\nLearn more about [Explain This Vulnerability](/blog/explain-this-vulnerability/).\n\n### Generate Tests in MRs\n- Automates repetitive tasks for developers and helps them catch bugs early.\nLearn more about [Generate Tests in MRs](/blog/merge-request-suggest-a-test/).\n\n### Explain This Code\n- Allows DevSecOps teams to get up to speed quickly on code.\nLearn more about [Explain This Code](/blog/explain-this-code/).\n\n## AI for everyone\n\n### Issue Comment Summaries\n- Quickly gets everyone up to speed on lengthy conversations to ensure they are all on the same page.\nLearn more about [Issue Comment Summaries](/blog/summarize-issues/).\n\n### GitLab Chat\n- Helps quickly identify useful information in large volumes like documentation.\nLearn more about [GitLab Chat](https://gitlab.com/groups/gitlab-org/-/epics/10220).\n\n### Value Stream Forecasting\n- Predicts productivity metrics and identifies anomalies across your software development lifecycle.\nLearn more about [Value Stream Analytics](https://docs.gitlab.com/ee/user/group/value_stream_analytics/).\n\nThese are just the beginning of many features we have in the works leveraging generative AI to provide our customers [AI-assisted features](/topics/devops/the-role-of-ai-in-devops/) across our DevSecOps platform. With our value of iteration at the heart of our work, we are actively improving all the capabilities we announced today as well as introducing new capabilities. 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GitLab's single application helps organizations deliver software faster and more efficiently while strengthening their security and compliance.\n\nSid's career path has been anything but traditional. He spent four years building recreational submarines for U-Boat Worx and while at Ministerie van Justitie en Veiligheid he worked on the Legis project, which developed several innovative web applications to aid lawmaking. He first saw Ruby code in 2007 and loved it so much that he taught himself how to program. In 2012, as a Ruby programmer, he encountered GitLab and discovered his passion for open source. Soon after, Sid commercialized GitLab, and by 2015 he led the company through Y Combinator's Winter 2015 batch. Under his leadership, the company has grown with an estimated 30 million+ registered users from startups to global enterprises.\n\nSid studied at the University of Twente in the Netherlands where he received an M.S. in Management Science. 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