Research

Original data on AI-native software delivery

Surveys, telemetry studies, and benchmarks from Stride and the broader software-delivery community. Methodology is always published; sample sizes are disclosed; raw datasets are linked when public. Cite freely.

Methodology & press materials

About Stride Research

What is Stride Research?
A program of original surveys, telemetry studies, and landscape syntheses on AI-native software delivery. Reports are published with full methodology disclosure (sample sizes, recruitment, statistical methods) so journalists, peer reviewers, and engineering leaders can assess the rigor before citing.
Can I cite Stride Research in my publication?
Yes. Reports are licensed CC BY 4.0. Attribute with the report title and a link to the source URL. Where datasets are released (look for the "Download raw data" link), reproducibility notebooks are linked from each report's methodology page.
How does Stride collect research data?
Three sources: pre-registered surveys (recruited via Prolific Academic, weighted to engineering-leader population), telemetry from Stride beta-customer workspaces (anonymised, opt-in), and synthesis of existing public studies (DORA, METR, Octoverse, Maslach Burnout Inventory). Every numeric claim in our reports is attributable to one of these.
Are the surveys peer-reviewed?
Surveys are pre-registered via OSF before fielding (the methodology page links the registration). They are not formally peer-reviewed in the academic sense, but the pre-registration plus full instrument disclosure plus dataset release makes them auditable in a way most industry research is not.
When will the next report ship?
Volume 0 (landscape synthesis) of each report is live now. Volume 1 (primary findings from the pre-registered surveys) ships on a rolling basis through 2026: DORA refresh Q4 2026, Sprint Estimation Q4 2026, Engineering Burnout Q3 2026, State of AI Software Delivery July 2026. Each Volume 1 replaces the synthesis sections of Volume 0 at the same URL.