Automate deployment processes with GitLab Duo Agent Platform
… You get the speed of AI automation without sacrificing the governance and traceability your enterprise requires. …
… You get the speed of AI automation without sacrificing the governance and traceability your enterprise requires. …
… Key use case: CI/CD pipeline automation The workflows where CLI-based AI can create real leverage include debugging broken pipelines at the end of a sprint, and running multi-step development tasks. …
… Automation handles the mechanics, such as rebasing before merge. …
… This agent orchestration tackles complex workflows such as auto-fixing broken pipelines and frees teams to focus on higher value work. …
… Solution: Standardized build automation You can address these challenges by implementing standardized build automation within CI/CD pipelines in GitLab. …
… GitLab Duo Agent Platform is evolving rapidly with specialized agents, custom workflows, and community-driven extensions on the roadmap. …
… How agentic AI unlocks platform engineering potential — Explore how agentic AI elevates platform engineering by automating complex workflows and scaling standardization. …
… This project truly showcases the next generation of intelligent automation. Agent Anansi: Your intelligent companion in GitLab “As someone deeply passionate about DevOps and AI, I was frustrated by the fragmented and reactive nature of traditional CI/CD workflows. …
… GitLab's engineering team evaluated candidate models against the task requirements of Duo Agent Platform — multi-step tool use, instruction adherence, code generation quality, and reasoning over large diffs and multi-file codebases — and selected models that perform reliably enough to power real ag… …
… The efficiency of your organization’s AI-assisted development workflows depends on how well your platform delivers structured context, not on the size of your model’s context window. …