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How Scale AI uses Greptile

~650 engineers

“Scale rolled Greptile out to ~650 engineers working across Python, Go, TypeScript, and React”

As published on greptile.com. Captured by usedby on Oct 7, 2026.

What happened

Scale uses Greptile as an AI code reviewer that goes first on pull requests, so human reviewers open PRs that already have a score and context. Simple, low-risk diffs that meet a complexity threshold can be included in the next release on a Greptile approval alone.

Summary written by usedby from the source page, in English. The figures are those of Greptile and Scale AI, not ours.

  • 100K+“Greptile has caught 100K+ bugs.”

As code volume climbed and review stayed the bottleneck, Scale rolled Greptile out to ~650 engineers working across Python, Go, TypeScript, and React.

From the page. greptile.com, captured Oct 7, 2026

We stuck with it for maybe a few weeks. And I remember we turned it off for a day or two, and we definitely got feedback that hey, I miss that. That was the clear test.

Aakash Sabharwal, VP of Engineering, Scale AI. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: ~650 engineersCheckedPrinted word for word on the page, near the name of Scale AI.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Scale AI.
  • Scale AI uses GreptileCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

~25,000+“Greptile has reviewed ~25,000+ PRs and surfaced ~49K issues across ~150 engineers”Coinbase uses Greptile. Another customer of Greptile~5,700Issues surfaced per monthDatadog uses Greptile. Another customer of Greptile2.5x“train models 2.5x faster than previously experienced on NVIDIA H200s”Mistral AI uses CoreWeave. Same industry: Artificial Intelligence