The Acceleration Whiplash
The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next.
- Engineering throughput is up
- Bugs, incidents, and rework are rising faster
- Two years of telemetry from 22K developers across 4K teams
More code. Declining quality. Accelerating incidents.
In 2025, we identified the AI Productivity Paradox. This report asks whether the pattern has changed. It has.
+51% PR Size
+28% Bugs per PR
5X Median Review Time
3X Incidents per PR
10X Code Churn
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Why read the report
The Acceleration Whiplash is one of the largest quantitative studies of AI's impact across the full software delivery lifecycle,
The data was pulled from every stage of the workflow to cover how AI code is written, reviewed, and tested—and what happens when it reaches production.
Across every stage, the signal is the same. Volume is up, quality is down, and the gap between the two is widening as adoption deepens.
What makes this report different:
- Telemetry, not surveys. Real engineering data from every stage of the workflow, not self-reported estimates.
- Before and after AI adoption. Two years of data, comparing outcomes at low versus high AI adoption within the same organizations.
- Correlation, not coincidence. Every finding reflects a statistically significant relationship between AI adoption and engineering outcomes.
- High performers aren't insulated. Engineering maturity is not a shield. Our data directly contradicts DORA's 2025 findings.
This report offers an objective view into how AI is reshaping software development, including:
- Why throughput is up but your incidents have tripled
- Why senior engineers aren't closing the quality gap either
- The case for fixing quality at the authoring stage, not downstream
- What organizations should do about headcount, process, and how far to extend AI's role