The impact of GitLab Duo Code review on AI-assisted workflows

Integrated AI in the DevOps platform

GitLab reports over 10,000 paying customers in 2026, which is an 8% increase from the previous year. The October 2026 Duo Code review launch changes how teams manage AI-assisted merge requests. This update follows the May 2023 release of GitLab 16.0, which brought AI-driven DevSecOps features to the platform. I see this development as a direct challenge to teams that choose between GitHub Copilot and Amazon CodeGuru. While those competitors focus on standalone AI assistance, GitLab integrates these capabilities into its DevOps platform. The company, founded in 2014, provides a cross-platform environment written in Ruby, Go, and JavaScript. In 2025, GitLab earned US$ 759.2 million in revenue. The platform also manages large-scale software movements, such as the 2020 migration of KDE with 2,600 projects and 2,700 contributors.

GitLab provides Git-based repository hosting and CI/CD pipelines. It combines version control with tools for automation, collaboration, and deployment. The platform supports code review, issue tracking, and project management in one place. Developers use merge requests to propose changes, review code, and merge updates. Because they use a .gitlab-ci.yml file, CI/CD pipelines automate the building, testing, and deploying of code.

Automation and the review lifecycle

GitLab acquired UnReview on June 2, 2021, to automate software review cycles. This integration allows the platform to handle merge requests with automated precision. When developers push commits, GitLab triggers a CI/CD pipeline. Runners execute these jobs across environments such as Linux, Windows, macOS, or Docker. The automated testing in these pipelines helps identify bugs early in the development cycle. You already know that finding bugs early saves significant time during the release process. I find that the integration of UnReview’s technology makes the review process more direct than using external AI tools.

The history of GitLab shows a focus on security and automation. In January 2017, a database administrator accidentally deleted the production database during a cyberattack, causing the loss of substantial issue and merge request data. To improve its security tools, GitLab acquired Gemnasium in January 2018 and Oxeye in March 2024. The company also acquired Peach Tech and Fuzzit on June 11, 2020, to specialize in protocol fuzz testing. In 2021, GitLab acquired Opstrace, Inc., which develops an open-source software monitoring and observability platform. The platform also handles large-scale Git-hosting, following the acquisition of Gitorious in March 2015, which had 822,000 registered users.

Compliance and the DevSecOps decision

Teams in the automotive or federal sectors use GitLab to meet strict regulatory requirements. These users must maintain audit trails, access controls, and security testing. For flight-critical firmware, GitLab helps maintain safety standards and track SBOMs. The platform also supports complex deployment pipelines, strict uptime requirements, and distributed edge environments. Because it supports building software that meets federal security standards, it allows for deployment in air-gapped environments.

The decision to adopt GitLab Duo depends on whether a team requires its integrated DevSecOps features like automated compliance workflows and safety standard tracking or if they prefer the standalone AI capabilities found in GitHub Copilot or Amazon CodeGuru. I conclude that GitLab’s integrated approach makes standalone AI tools less necessary for specialized DevSecOps pipelines. Will the integration of Duo Code review eventually make standalone AI coding assistants obsolete for large enterprises?