"CI/CD was built around a comforting idea: Software should do tomorrow what it did today, assuming the inputs are the same. That assumption sits underneath a lot of modern DevOps. It is why we have build pipelines, test suites, artifact repositories, deployment gates, rollback strategies, infrastructure-as-code and all the other machinery that turned software delivery from an artisanal activity into something closer to an industrial process."
"We may not always get perfect repeatability, but the goal has been clear. Same source code. Same build process. Same tests. Same artifact. Same deployment path. Same expected result. Agentic AI makes a mess of that assumption. That does not mean CI/CD is dead. It does not mean pipelines are obsolete. It does not mean every DevOps team has to throw away what it spent the last decade building."
"But the model has to expand because the thing being delivered is changing. This is why cdCon being co-located with Open Source Summit North America this week is more than just another conference scheduling detail. The Linux Foundation has framed this year's summit around AI infrastructure, software supply chain security, open ecosystems and the rise of AI agents, while cdCon is focused on the next evolution of DevOps through AI, platform engineering, security and open source."
"The Continuous Delivery Foundation describes cdCon 2026 as centered on AI-driven workflows, operational delivery of AI applications, software supply chain security and platform engineering at scale. That is exactly the right conversation at exactly the right time. Techstrong Group will be on the ground at Open Source Summit as well, with Mike Vizard and the Techstrong team covering the news, hallway conversations and practical takeaways for our DevOps.com, Cloud Native Now and PlatformEngineering.com communities."
CI/CD relies on the idea that software will do tomorrow what it did today when inputs are the same. Modern DevOps uses build pipelines, test suites, artifact repositories, deployment gates, rollback strategies, and infrastructure-as-code to achieve repeatable delivery from the same source code through the same deployment path. Agentic AI undermines that repeatability assumption, but CI/CD and pipelines are not obsolete. DevOps disciplines become more important while the delivery model must expand because the delivered software is changing. cdCon 2026 focuses on AI-driven workflows, operational delivery of AI applications, software supply chain security, and platform engineering at scale, aligning with broader AI infrastructure and open ecosystem priorities.
Read at DevOps.com
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