JetBrains Report Reveals CI/CD Maturity and Shifting Trends Towards Self-Hosting and Tool Consolidation

A recent report from JetBrains, drawing on data from multiple 2026 surveys, indicates several key shifts in the CI/CD landscape. Notably, CI/CD adoption has reached near-universal status, with 83.4% of developers running pipelines. However, the report points to a significant trend towards self-hosting primary CI/CD tools, with nearly three-quarters of developers opting for on-premises or self-managed cloud instances. This marks a five-year high for on-premises solutions and a decline in fully managed cloud CI since its 2022 peak. Concurrently, organizations are actively pursuing toolchain consolidation, with a noticeable decrease in two-tool stacks and an increase in those using three or more tools, driven by a desire for efficiency. This shift matters profoundly to practitioners. The move towards self-hosting suggests a desire for more control over infrastructure, security, and cost optimization, potentially in response to the complexities or perceived limitations of fully managed services. For platform engineers and DevOps teams, this means a renewed focus on managing and optimizing self-hosted CI/CD environments, including considerations for scalability, maintenance, and security. The emphasis on toolchain consolidation directly impacts vendor strategies and procurement decisions, pushing for more integrated solutions that reduce operational overhead and improve workflow consistency. It signals a maturation of the CI/CD space, where the initial rush to adopt any solution is giving way to more strategic, long-term planning. These trends fit within a broader narrative of increasing sophistication in cloud and DevOps practices. As organizations gain more experience with cloud-native architectures and CI/CD, their needs evolve beyond basic automation. The desire for greater control aligns with the rise of platform engineering, where internal platforms are built to provide developers with standardized, self-service tools and infrastructure. Similarly, toolchain consolidation reflects a push for better developer experience (DX) and operational efficiency, reducing context switching and integration challenges. While AI is frequently discussed in the context of DevOps, the report indicates its current role in CI/CD is largely peripheral, used for tasks around the pipeline rather than within the core build and test processes, suggesting that practical, impactful AI integration in CI/CD is still in its early stages. In practice, practitioners should evaluate their current CI/CD strategies in light of these findings. For those heavily reliant on fully managed cloud CI, it may be time to assess whether self-hosted or hybrid models offer better long-term value, control, and cost efficiency. Teams should also actively seek opportunities to consolidate their CI/CD toolchains, prioritizing platforms that offer broader capabilities and tighter integrations. Furthermore, while AI in CI/CD is not yet mainstream for core pipeline steps, exploring its application in areas like intelligent test selection, anomaly detection, or pipeline optimization could yield incremental benefits. The key takeaway is to move beyond basic CI/CD implementation and focus on strategic optimization for control, efficiency, and developer experience.