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AI is rapidly changing how software is built but simply adding AI coding assistants on top of an already fragmented toolchain often creates more noise than value.  In this webinar, we’ll explore how GitLab Duo Agent Platform moves beyond isolated AI helpers to deliver context-aware, agentic AI across the entire software development lifecycle.  Built on GitLab’s unified data model, the Agent Platform enables teams to orchestrate multiple AI agents that collaborate with developers, automate complex workflows, and operate securely within enterprise guardrails.  Attendees will see how agentic orchestration, multi-agent flows, and GitLab’s Knowledge Graph unlock faster delivery, better decision-making, and improved developer experience while reducing tool sprawl, security risk, and operational friction.

What Attendees Will Learn

• Why agentic AI requires full SDLC context, and how GitLab’s unified data model enables AI agents to work effectively across planning, coding, security, CI/CD, and operations rather than in isolated silos.
• How GitLab Duo Agent Platform orchestrates humans and AI together, using multi-agent flows, SDLC event hooks, and an extensible AI Catalog to automate high-impact tasks at scale.
• How built-in security, governance, and deployment flexibility allow organizations to safely adopt AI agents in regulated, self-managed, SaaS, or air-gapped environments.
• Practical examples of AI-driven workflows, such as issue-to-merge-request automation, failed pipeline remediation, intelligent work prioritization, and accelerated onboarding using GitLab’s Knowledge Graph.