For years, achieving daily releases has been the gold standard of DevOps maturity. But what happens when you get there? According to new data from over 700 engineering leaders, high deployment frequency is increasingly masking a crisis of off-hours rework, instability, and engineer burnout.

As teams adopt AI coding assistants to accelerate development, the misalignment between automated code generation and a delivery process that requires even a small number of manual tasks is causing pipelines to fracture.

When "fast" relies on evening and weekend firefighting to get releases across the line, the system is running on borrowed time.

In this session, we dig into the survey data to uncover how legacy CI/CD is failing high-velocity teams, and chart a path forward with the ultimate ambition of building a fully autonomous delivery process.

Key Takeaways:

The Velocity Illusion: Why isolated high DORA metrics (like deployment frequency) can sometimes be a false positive for health and stability.

The Cost of Manual Touchpoints: How AI-accelerated development exposes the compounding risk of pipelines that still rely on even minor human interventions.

Paving the Way to Autonomy: Strategies for implementing automated governance, deployment verification, and progressive rollouts to remove human bottlenecks completely.