GitLab has acquired UnReview, a machine learning (ML) based solution for automatically identifying appropriate expert code reviewers and controlling review workloads and distribution of knowledge.
GitLab hopes to advance the user experience within its Dev Section through this acquisition by improving a user’s ability to perform impactful code reviews through ML to recommend code reviewers based on their previous contributions to areas of code as well as current reviewer workload. With this, teams can increase their velocity, code quality and security.
“Integrating UnReview’s technology into the GitLab platform marks our first step in building GitLab’s Applied Machine Learning for DevOps,” said Eric Johnson, CTO of GitLab.
“By continuing to incorporate machine learning into GitLab’s open DevOps platform, we are improving the user experience by automating workflows and compressing cycle times across all stages of the DevSecOps lifecycle. We’re also building new MLOps features to empower data scientists.”
The UnReview technology will be integrated into the GitLab Code Review experience for GitLab SaaS customers by the end of year.
“I am grateful for the opportunity to share my passion for data science and machine learning with GitLab and its community," said Alexander Chueshev, UnReview founder and senior full stack engineer at GitLab.
"I look forward to enhancing the user experience by playing a role in integrating UnReview into the GitLab platform and extending machine learning and artificial intelligence into additional DevOps stages in the future."
