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130,000

“Over 130,000 completions accepted into the codebase”

As published on augmentcode.com. Checked by usedby on Oct 9, 2026.

What happened

Pure Storage's engineers use Augment Code as an AI coding assistant across a large multi-language codebase, mainly C++, to understand unfamiliar code, debug issues, and onboard new engineers faster. It replaced GitHub Copilot, which they found insufficient.

Summary written by usedby from the source page, in English. The figures are those of Augment Code and Pure Storage, not ours.

  • 77%“with 77% of chat-driven suggestions implemented”

Over 130,000 completions accepted into the codebase, with 77% of chat-driven suggestions implemented.

From the page. augmentcode.com

Augment is definitely smarter than other AIs—it usually gets things right before the others do and creates higher-quality code

Richard Hefner, Senior Software Engineer, Pure Storage. Source

Engineers told us: 'You will not take this away from us. Over my dead body.' There's so much passion because with a complex codebase and a big monolithic repo, Augment solves problems that nothing else can.

Dr. Ratinder Paul Singh Ahuja, CTO, Security and GenAI, Pure Storage. Source, captured Oct 6, 2026

What the story claims, and what we checked

What we compared with the page.

  • The figure: 130,000CheckedPrinted word for word on the page, near the name of Pure Storage.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Pure Storage.
  • Pure Storage uses Augment CodeCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

30+ min“30+ min saved on searches with Glean”Pure Storage uses Glean. Another tool at Pure Storage12 hours“saves analysts around 12 hours every month on reporting tasks alone”Fivetran uses Pigment. Same industry: Data & Analytics12 minutes“Qrvey reduced their build times from a few hours to 12 minutes on average.”Qrvey uses Harness. Same industry: Data & Analytics