Building a transparency-first AI strategy: 7 questions to ask your DevOps provider
Learn what to ask before adopting an AI tool to avoid exposing sensitive data or compromising intellectual property rights.
Learning Python with a little help from AI
Use this guided tutorial, along with GitLab Duo Code Suggestions, to learn a new programming language.
Say hello to GitLab Duo Chat: A new level of AI-assisted productivity
Learn how GitLab Duo Chat, releasing Nov. 16 in Beta, can help elevate your coding skills, streamline onboarding, and supercharge team efficiency.
Drive secure growth at scale: Your GitLab AI, CI/CD, and customization toolkit
Find out how the latest developments for the GitLab AI-powered DevSecOps Platform help organizations scale to enterprise levels.
Building GitLab with GitLab: Why there is no MLOps without DevSecOps
Follow along as data scientists adopt DevSecOps practices and enjoy the benefits of automation, repeatable workflows, standardization, and automatic provisioning of infrastructure.
Unblock code reviews with GitLab Duo Suggested Reviewers
Use the power of AI to identify the right reviewers more quickly, saving time and accelerating the software development lifecycle.
GitLab Global DevSecOps AI Report: Ushering in a new era of software development
Our survey found that DevSecOps teams are optimistic about AI, but privacy, security, and training emerged as key challenges to successful AI adoption.
Modern software development problems require modern AI-powered DevSecOps
Learn how applying AI can help solve common development challenges.
Remediating vulnerabilities with GitLab's security insights and AI
Learn how to leverage vulnerability insights and the Explain this Vulnerability AI feature to not only resolve a vulnerability, but also understand it.
Explore the Dragon Realm: Build a C++ adventure game with a little help from AI
How to use GitLab Duo Code Suggestions to create a text-based adventure game, including magical locations to visit and items to procure, using C++.
How GitLab Duo Code Suggestions helped me make long car rides fun
AI-powered Gitlab Duo Code Suggestions coupled with Remote Development workspaces helped me create a Python-based guessing game application to keep my daughter entertained.
Combine GitLab Flow and GitLab Duo for a workflow powerhouse
Add the AI-powered capabilities of GitLab Duo to GitLab Flow to boost the efficiency of DevSecOps workflows.
RAIL-M is an imperfectly good start for AI model licenses
"GitLab, Inc. is dedicated to open source and AI. This is our take on a model license relevant to open source and AI communities: the BigScience Open RAIL-M license."
GitLab plugins for JetBrains and Neovim now available in Beta
GitLab plugins for JetBrains IDEs and Neovim are now available in Beta, bringing GitLab Duo Code Suggestions to more software development environments.
Supercharge productivity with generative AI and GitLab Duo
Learn how the GitLab DevSecOps platform leverages generative AI and large language models to enable organizations to boost productivity and efficiency.
Empower ModelOps and HPC workloads with GPU-enabled runners integrated with CI/CD
Learn how to leverage our GitLab-hosted GPU-enabled runners for ModelOps and high-performance computing workloads.
GitLab 16: AI and security take center stage
Our GitLab 16 launch event showcased our AI-powered workflows that drive usability improvements, security enhancements, and observability advancements.
GitLab for Visual Studio, including code suggestions, available in Beta
GitLab for Visual Studio is now available in Beta, bringing GitLab Duo code suggestions to Visual Studio.
Meet GitLab Duo, the suite of AI capabilities powering your workflows
Learn about GitLab Duo, an expanding toolbox of features integrated directly into the GitLab platform to assist DevSecOps teams.
Self-managed support for Code Suggestions (Beta)
Self-managed support for Code Suggestions (Beta) is coming in GitLab 16.1.
Train and deploy AI models with GitLab and Google Cloud's Vertex AI
Demo of GitLab's DevSecOps capabilities combined with Vertex AI's scalable ML platform, designed with the aim of rapid and secure AI deployments.
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.
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.