The surge of AI across software development in 2025 fundamentally reshaped how software is delivered.
Release cycles accelerated. Output volumes soared. AI copilots, automated testing, and “vibe coding” quickly became woven into daily workflows. For DevOps teams, the net effect was unprecedented speed.
But speed on its own isn’t a strategy, and increasingly, it’s coming with consequences.
As pipelines accelerate, teams are losing visibility and control over what’s running in production. Reliability incidents are climbing. Governance is struggling to keep up. And customers are beginning to feel the effects.
A recent report by LaunchDarkly found that 81% of DevOps professionals knowingly shipped “risky code” in the last six months due to deadline pressure. As a result, 38% of teams now spend more than a quarter of their time resolving incidents, firefighting instead of innovating.
But this is only the beginning. AI adoption isn’t slowing, and IT leaders are doubling down on automation throughout the delivery pipeline. While 2025 was a year of experimentation in workflows and product flows, 2026 will introduce the opportunity to mature these practices, raise software standards, and create a pivotal reset moment for DevOps, putting the need to demonstrate resilience centre-stage.
The reset: Measuring what matters in 2026
In 2026, organisations will shift toward a more balanced approach, moving from prioritising speed to embedding resilience at the core of success metrics. The primary question will evolve from “How fast can we ship?” to “How effectively can our systems absorb constant change and increased demand?” As AI continues to accelerate delivery, success will hinge on what happens after code reaches production.
Three metrics will form the new foundation of DevOps performance:
1. Resilience under change
The ability of systems to remain stable amid continuous updates will replace sheer deployment frequency as the leading indicator of DevOps excellence. Organisations will track how fast they can detect issues, isolate problematic changes, and restore reliable service. The emphasis shifts from celebrating high release counts to demonstrating that those releases withstand real-world conditions without disrupting users.
2. Runtime control
Historically treated as a safety net, runtime control becomes a strategic necessity in 2026. Teams will expect the ability to adjust, manage, or mitigate features instantly in production, without waiting for another deploy. As AI introduces more automation earlier in the pipeline, runtime becomes the primary point where humans retain confident oversight, intervening when software meets real customers. Control is the mechanism that converts “fast” into “safe.”
3. Governance as a core KPI
Governance is no longer optional or a ‘nice-to-have’. Compliance, permissions, auditability, and policy enforcement must be infused directly into the delivery lifecycle. AI-driven workflows heighten the need for robust governance. Organisations will begin measuring how consistently they apply rules, prevent risky changes, and preserve trust. Governance becomes a performance metric, not a box to check.
From shipping faster to shipping smarter
AI adoption shows no signs of slowing; the volume of changes introduced by AI-assisted teams will only continue growing. With that, organisational responsibility for stability becomes even more vital. If speed continues to dominate at the expense of control, teams risk chaotic outages, brittle systems, and erosion of customer confidence.
To succeed in 2026, DevOps teams must design for resilience. Feature flags, progressive delivery, and real-time rollback capabilities will shift from “nice to have” to “essential.”
The teams that excel will be those that harness AI-driven velocity while maintaining strong oversight of the outcomes it produces.
The future of DevOps will not be judged by how quickly software ships, but by how reliably it operates. In 2026, resilience becomes the new measure of velocity, and runtime is where that resilience is proven.
About the Author
Marcus Holm is President at LaunchDarkly. LaunchDarkly isn’t just a leader in feature management — it’s the first scalable feature management platform. Feature management allows development teams to innovate faster by fundamentally transforming how software is delivered to customers. With the ability to gradually release new software features to any segment of users on any platform, DevOps teams can standardize safe releases at scale, accelerate their journey to the cloud and collaborate more effectively with business teams.
