How AI is Changing DevOps: From Code Suggestions to Auto-Remediation
As DevOps matures, we're witnessing a paradigm shift—one where artificial intelligence is no longer just an enhancement, but a driving force. In this talk, I’ll share lessons and insights from over a decade and working on large-scale cloud-native systems at AWS, where I’ve had a front-row seat to how AI is fundamentally reshaping the DevOps lifecycle. We'll explore how AI-powered tools are moving beyond simple static analysis to provide contextual code suggestions, intelligent pull request reviews, and even predictive CI/CD pipeline optimizations. More importantly, we’ll dive into the emerging field of auto-remediation—where AI models trained on historical telemetry and incident data can detect anomalies, pinpoint root causes, and initiate corrective actions autonomously. This session is designed for practitioners, leaders, and architects who want a strategic yet hands-on view of how AI is changing the way we build, deploy, and operate software in the cloud—today and in the years to come.A recording of this session is available on YouTube: https://youtu.be/Gh_vfJUxYV4
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-17
- DOI
- https://doi.org/10.5281/zenodo.17967524
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00