How I built a demo generator with GitLab Duo Agent Platform
A demo used to take me days to build — screenshots, narration, stitching it together in an external tool, chasing
A demo used to take me days to build — screenshots, narration, stitching it together in an external tool, chasing
Today, you might maintain separate secret stores for CI/CD, Kubernetes, and Terraform. However, that leaves multiple tools to manage, access
A new, event-driven trigger in GitLab Duo Agent Platform lets flows fire the moment a work item is created, turning
Knowing what to do next in software development is rarely the hard part. Doing it again in the exact same
Static scanners excel at catching vulnerabilities that fit a known pattern, like unsanitized query inputs, hardcoded secrets, and unsafe deserialization.
Most of the work for software delivery doesn’t happen only in the editor. Pipelines fail. Tests break. Vulnerabilities show up.
AI is writing more code and pulling in more dependencies, increasing application risk. Most of that exposure isn’t from code
Agents are good at writing code. They’re far worse at navigating the system around it: the related code, the pipelines
Most enterprises use a handful of different security scanners, each configured and enforced, project by project. With no single view
A small team at GitLab spent the past few weeks running an experiment: Could we use AI agents to migrate