The use case: how PubMatic deploys Bito
PubMatic routes its engineers' coding agent traffic (Cursor and Claude Code) through Bito's Governor, which supplies relevant code up front and sends each request to a model suited to the task. Different Governor modes are assigned by seniority to balance cost and quality.
More reported results
Figures published in Bito’s case study. They are not independently measured by usedby.
Tasks now finish 34% faster.
In the customer’s words
Governor has been really helpful. It’s made our agent work so much more efficient that we can invest even more in our agentic SDLC efforts.Things like catching our i18n patterns on its own, that is what is really different. AI Architect is reading the same signals a senior engineer would, our tickets, our docs, our review comments, and planning the way someone who knows us would plan.Bito users in Advertising & AdTech
Companies in the same sector, with public evidence.
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Go straight to the source
Based on Bito’s published case study. We check the public evidence; the results are reported by the vendor.
bito.ai- Source published
- Nov 2, 2026
- Last checked
- Nov 8, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 64%Checked
Printed word for word on the page, near the name of PubMatic.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of PubMatic.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- PubMatic uses BitoChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
PubMatic’s coding agent spend dropped 64% across the engineering org. Quality held up, and engineers didn’t have to change how they work.