Research Report

AI Ships More Code. SRE Pays the Price.

Why on-call engineers get buried when more AI- generated code hits production—and what your options are.

41%
Capacity gap by 2027
2X
Code churn increase
-60%
Refactoring decline

What's in the report:

The data: How AI codign is accelerating cod velocity (LinearB, GitClear, DORA)

The quality problem: Why speed without discipline compounds technical debt

The capacity gap: Code output vs. SRE headcount —projected through 2027

Three paths forward—and how to decide which fits
your constraints

A diagnostic question to know if this is already costing you

"When incidents pile up, roadmap progress stops and people burn out."

Director of SRE, Enterprise CX Company

Written for:

CTO

VP Engineering

Head of Platform Engineering

Head of SRE

What's in the report: