22/10/2026
Reliance on AI for DevOps tasks swung from -9 to +9 in six months. The share of developers using AI for them barely changed.
Liam Bollmann-Dodd shows this in our webinar recording, comparing two waves of SlashData's global developer survey.
• Handling DevOps tasks, such as authoring CI/CD pipelines, reliance: -9 to +9, a swing of 18 points
• Share of developers using AI for DevOps tasks: 19% to 17%, which Liam calls within noise
Base: the share among developers who use AI tools to help them write code, from SlashData's global developer survey of more than 10,000 developers per wave, Q1 vs Q3 2026.
Reliance is a net score: the share of developers who hand AI the majority of a task, minus the share who hand it a minority.
Liam's reading, the likelier of his two explanations: DevOps needs very specific configuration, and with the right context a model can probably be precise about it. Even in the group that relies on AI most, developers may still do up to 25% of the task themselves, "which gives a lot of space for them to still be involved."
For CI/CD and platform vendors: developers may still keep part of the task, so an AI that does the configuration and reports back fits that pattern.
Watch the full recording:
https://go.slashdata.co/ai-workflow-impact-webinar?utm_source=facebook&utm_medium=organic_social&utm_campaign=webinar_ai_workflow_20261008&utm_content=clip05_devops