AI made code abundant. Trust is now the bottleneck.

Agents can write code in minutes, but review, testing, security, and deployment still run across tools that were never built for machine-scale work. Policy is fragmented, agents act without clear identity, and no one can trace what changed or why. Humans used to hide those seams; agents expose them. The result is a shadow software factory: fast at generating code, slow and risky at shipping it.

Join GitLab and Omdia Chief Analyst Michael Azoff for a conversation about what it takes to know a change is safe to commit. Michael brings an independent view of the market: where AI adoption stalls, what separates teams getting real value, and how engineering roles change as humans supervise agents. GitLab Developer Advocate Colleen Lake brings the developer’s perspective, then shows in a live demo how governance and security built into the workflow let teams ship agent-written code with confidence.

Omdia named GitLab a Leader in its 2026 Universe for AI-assisted Software Development, with a best-in-class score for Solution Breadth.

Join us to learn:

• Where delivery stalls once code generation speeds up, and why trust has become the bottleneck
• What security and compliance leaders need before agent-written code reaches production
• How to add guardrails that let you give agents more autonomy without taking on more risk
• What governance and security look like in practice, from merge request to production

Space is limited — register today to save your spot!

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