The use case: how Brex deploys Cursor
Brex built a pipeline of custom self-hosted Cursor agents that generate, build, validate and self-correct code to automate the Micronaut 3 to 4 framework migration across its Kotlin microservices. One agent opens draft pull requests from Linear tickets and a second monitors CI, deploys to development environments and fixes runtime errors, with a human reviewing every change.
More reported results
Figures published by Brex on its own page. They are not independently measured by usedby.
This allowed a single engineer to migrate 180 microservices in just one month.
we decreased our cost per microservice migration by approximately 90%
In the customer’s words
More than 70% of our engineers now use Cursor, and we've seen meaningful gains in day-to-day development, faster execution on large-scale migrations, increased rate of debugging, and even faster onboarding.Other AI tools used by Brex
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Cursor users in Fintech & Payments
Companies in the same sector, with public evidence.
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Go straight to the source
Based on Brex’s own page about how it uses Cursor. We check the public evidence; the results are reported by the company.
brex.com- Source published
- Jul 22, 2026
- Last checked
- Oct 25, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 32xChecked
Printed word for word on the page, near the name of Brex.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Brex.
- The numbers in our summaryChecked
Each one is printed on the page.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Brex uses CursorChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
We built a pipeline of custom self-hosted AI agents in Cursor that are capable of writing, building, and dynamically self-correcting code. This allowed a single engineer to migrate 180 microservices in just one month.