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Amazon’s Terkowitz urges engineers to document AI tooling gaps

Terk Terkowitz, a leader in Amazon’s engineering team, wrote in an internal update that if AI tools don’t help an engineer’s work, that’s a valid finding—not a shortcoming. He urged developers to explain where AI falls short, share those insights with peers, and push for solutions. The message frames AI adoption as a process of continuous assessment rather than an all-or-nothing requirement.

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Key points

  • Terk Terkowitz told Amazon engineers AI tooling gaps are valid findings, not failures
  • Developers should document where AI doesn’t help and share findings with peers
  • No specific tools or tasks mentioned; update is internal and unconfirmed publicly

Terkowitz’s note does not specify which AI tools Amazon engineers use or which tasks remain unaddressed. It aligns with broader industry discussions about AI’s uneven impact across roles, emphasizing transparency and iterative improvement over rigid expectations. The update was shared internally but not publicly confirmed by Amazon.

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Full story from Simon Willison · by Simon WillisonOpen source ↗

Quoting Terk Terkowitz

Simon Willison · 28 October 2026

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