Currently, the software development process relies on integrating development and operations (DevOps) to accelerate delivery without compromising quality. When the system becomes very complex, it becomes risky and delays the manual control of the continuous integration or continuous deployment (CI/CD) processes. AI-based autonomous pipelines manage the entire process by automating decisions, optimizing, and eliminating human errors.

Continuous risk-aware DevOps involves monitoring and signaling issues, as well as predicting failures. The self-healing mechanisms handle the whole thing in a way that minimises disruption and improves system stability across different deployments.