HOW AI MAKES THIS ROLE FASTER
AI drafts the config. Nothing reaches production without review.
Infrastructure work is full of boilerplate: pipeline files, container builds, permission policies, runbooks. AI drafts it quickly. A mistake in infrastructure takes the whole product down, so every change is reviewed and previewed before it's applied.
| Step | What AI does | What the engineer does | Gate |
|---|
| Build | Drafts Dockerfiles, pipeline config and infrastructure code | Tightens permissions, pins versions, removes anything unneeded | Senior review before merge |
| Plan | Explains what a change will create, change or delete | Checks the plan against what's running | Plan approved before apply |
| Investigate | Reads logs and metrics during an incident and suggests likely causes | Confirms the cause and fixes it | Written incident note |
| Document | Drafts runbooks and the restore procedure | Runs the restore to prove the runbook works | Restore test passes |
A senior engineer reviews every change before merge. CodeRabbit found AI-co-authored pull requests carried ~2.7× more security defects, which matters most in infrastructure, so nothing reaches production without review. Client code is never used to train models.