Understanding flows: Multi-agent workflows
Blog post from GitLab
The GitLab Duo Agent Platform enables users to build and deploy AI agents and workflows within their development lifecycle by orchestrating multi-step processes called flows. These flows, which can be foundational or custom, consist of multiple agents that work autonomously to complete complex tasks, such as software development, CI/CD pipeline fixes, and code reviews, without requiring user intervention. Foundational flows offer pre-built, production-ready workflows for common development tasks, while custom flows allow teams to tailor automation to their specific needs, leveraging GitLab's platform compute and GitLab Runner infrastructure. Custom flows can be triggered through various GitLab events, such as mentions or assignments, and are defined through a YAML configuration that specifies components, agents, and execution logic. The platform helps streamline development processes by allowing users to focus on higher-level tasks while flows handle background operations, ultimately enhancing project efficiency and consistency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 1 | 4,365 | 852 | 224 | +29% |
| Multi-agent systems | 1 | 481 | 125 | 68 | +4% |
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