AI/ML in DevSecOps Series

This post is an introduction to a series tracking GitLab's journey to build and integrate AI/ML into its DevSecOps platform. It highlights various AI/ML experiments and features being developed, including AI-assisted code suggestions, SQL generation, code explanation, issue comment summarization, merge request change summarization, test generation, vulnerability explanation, chatbot for documentation, MLFlow integration, and code suggestions for various IDEs and self-managed instances. It also mentions the introduction of GPU-enabled runners for ModelOps and HPC workloads and the GitLab Duo suite of AI capabilities.