The use case: how Writer deploys CodeRabbit
WRITER uses CodeRabbit for AI-assisted code review on pull requests across many repositories, including style guide enforcement, bug detection, sequence diagrams, Jira integration and an IDE extension for Cursor and VS Code. They chose to buy it rather than build an in-house review tool with their own LLMs.
More reported results
Figures published in CodeRabbit’s case study. They are not independently measured by usedby.
over 70% of those suggestions are accepted
CodeRabbit now being used on more than 37 repositories
Processing approximately 50 pull requests per day across their active repositories
In the customer’s words
In this case, it enforced a more precise UUID check and saved us from a production issue.Other AI tools used by Writer
Other public relationships recorded on usedby.
Explore Writer’s AI stack
CodeRabbit users in Marketing Tech
Companies in the same sector, with public evidence.
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Go straight to the source
Based on CodeRabbit’s published case study. We check the public evidence; the results are reported by the vendor.
coderabbit.ai- Last checked
- Nov 10, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 30%Checked
Printed word for word on the page, near the name of Writer.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Writer.
- Writer uses CodeRabbitChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Kyrylo reports cutting code-review time by 30% thanks to CodeRabbit’s targeted comments, which let him skip already covered areas and focus on higher value work