
In the realm of DevOps, frequent and reliable code deployment is the cornerstone of operational success. Yet, many organizations struggle to achieve this due to inconsistent release processes and the specter of code release failures. AI can significantly alleviate these challenges by introducing smarter automation in the build and deployment pipelines. Machine learning algorithms can predict potential faults by analyzing