Every engineering organization has those tasks: complex, repetitive, and time-consuming, but absolutely critical to get right. Onboarding a new microservice into an established GitOps deployment workflow is a perfect example. It involves generating bespoke manifests, updating delivery pipelines, configuring image automation, and making sure every piece references the right namespaces, ports, and hostnames. If you miss a step, the deployment breaks. Do it manually and you can lose hours, sometimes a whole day, to a setup that follows the same pattern every time. This is an example of the kind of work AI agents were built for. With GitLab Duo Agent Platform , you can create a custom agent that understands your specific application, your specific GitOps workflow, and your specific conventions, and then performs that complex onboarding for you.…