AI Added to the Workflow
Recently, GitLab integrated Duo AI into DevSecOps, introducing artificial intelligence into the development workflow. Duo works like a context-aware assistant embedded into GitLab, delivering AI-powered suggestions, explanations, and automation. It also generates code, summarizes merge requests, produces tests, and offers guidance on vulnerabilities in real-time.
Instead of replacing traditional security or CI/CD tooling, Duo improves DevSecOps by helping developers understand and take action on security findings more efficiently, speeding up the remediation and review cycles. Duo allows security insights, code fixes, and testing recommendations to become more accessible. Doing so reduces delays and makes security part of the development process.
The Duo Agent Platform extends the AI’s role with multiple AI agents collaborating on various tasks within the DevSecOps lifecycle. Developers work with these agents to generate code, optimize CI/CD pipelines, analyze vulnerabilities, and assist with IaC configurations.
Coordinating AI within the platform enables the agents to have a more proactive, automated approach to security, testing, and deployment, making AI a participant in the workflow. This model ensures AI recommendations and interventions remain context-aware, project-specific, and integrated within GitLab’s compliance and governance frameworks.
These components —planning, coding, testing, securing, deploying, monitoring, and AI assistance —exist within a single platform, a strength of DevSecOps. Rather than navigating a toolchain, teams work within a unified ecosystem that maintains context, consistency, and clarity. This approach reduces operational overhead, improves developer productivity, and embeds security into the everyday workflows rather than treating it as a late-stage concern.
