ML experiment: Extending Code Suggestions to more development environments
Learn how GitLab is experimenting with extending Code Suggestions to Visual Studio, JetBrains IDE, Neovim, and other environments in our ongoing 'AI/ML in DevSecOps' series. Read on
How Code Suggestions can supercharge developers' daily productivity
Learn how you can use GitLab Code Suggestions to accelerate your development.
ML experiment: Summarize my merge request review
Learn how GitLab is experimenting with ML-powered merge request review summaries in this latest installment of our ongoing 'AI/ML in DevSecOps' series.
Code Suggestions available to all GitLab tiers while in Beta
All users can acess Code Suggestions AI-assisted feature while it is in Beta.
Track ML model experiments with new GitLab MLFlow integration
Track the many versions of your machine learning models on GitLab using the MLFlow client.
ML experiment: Use a chatbot to answer how-to questions
Learn how GitLab is experimenting with a docs chatbot that you can ask product questions in this latest installment of our ongoing 'AI/ML in DevSecOps' series.
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.
ML experiment: Explain this vulnerability
Learn how GitLab is experimenting with vulnerability explanation and mitigation recommendations in this latest installment of our ongoing 'AI/ML in DevSecOps' series.
ML experiment: Generate tests for code changes
Learn how GitLab is experimenting with ML-powered test suggestions in this latest installment of our ongoing 'AI/ML in DevSecOps' series.
AI/ML in DevSecOps Series
This blog series chronicles our journey to integrate AI/ML throughout the software development lifecycle.
ML experiment: Summarize merge request changes
Learn how GitLab is experimenting with ML-powered merge request changes summarization in this sixth installment of our ongoing AI/ML in DevSecOps series.
ML experiment: Summarizing issue comments
Learn how GitLab is experimenting with ML-powered issue comment summarization in this fifth installment of our ongoing AI/ML in DevSecOps series.
ML experiment: Explain this source code
Learn how GitLab is experimenting with ML-powered source code explanation features in this fourth installment of our ongoing AI/ML in DevSecOps series.
ML experiment: Writing SQL is about to get a lot easier
Learn how GitLab is experimenting with ML-powered product features in this third installment of our ongoing AI/ML in DevSecOps series.
How AI-assisted code suggestions will advance DevSecOps
In this second blog in our ‘Future of AI/ML in DevSecOps’ series, find out the impact of AI Assisted code suggestions on the software development lifecycle.
What the ML is up with DevSecOps and AI?
AI will revolutionize DevSecOps platforms. Learn about where GitLab is today and what we're working on.