How AI is changing open source

"Open source engagement is shifting to the layers that matter most: Kubernetes (yes, really), observability, platform engineering, networking, and the infrastructure required to make AI work in production. While we can't help but be inundated by news of this or that latest model, open source keeps quietly chugging away in the background."

"CNCF now hosts more than 230 projects with more than 300,000 contributors worldwide. Its 2025 survey found that 98% of organizations have adopted cloud-native techniques, and 82% of container users now run Kubernetes in production. GitHub's 2025 Octoverse report tells the same story but from an even wider angle: 1.12 billion contributions, more than 180 million developers."

"In 2025, as CNCF Devstats show, Red Hat led all CNCF contribution activity with 194,699 contributions. Second place? Microsoft with 107,645. And third? Google at 91,158. Independent contributors still mattered, landing fourth at 52,404, which is a useful reminder that open source hasn't become purely corporate."

Open source has not declined but evolved into the foundational control layer for modern infrastructure and AI systems. While high-profile AI model releases dominate headlines, open source engagement has intensified in infrastructure-critical areas including Kubernetes, observability, platform engineering, and networking. CNCF hosts over 230 projects with 300,000 contributors, with 98% of organizations adopting cloud-native techniques and 82% running Kubernetes in production. GitHub reports 1.12 billion contributions and 180 million developers, while Apache maintains 295 active projects with nearly 10,000 committers. Major technology companies like Red Hat, Microsoft, and Google lead contribution activity, though independent contributors remain significant, demonstrating open source's continued vitality in enterprise infrastructure.

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