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Proton CTO Bart Butler says engineer job is to help LLMs code

Proton CTO Bart Butler published a three-page internal memo asserting that the role of software engineers has fundamentally changed due to AI. The document states that engineers no longer write code themselves but instead help large language models (LLMs) write better code faster. Proton did not respond to Business Insider but previously told 404 Media that it had been "too blunt or too slow" in…

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Key points

  • Proton CTO Bart Butler wrote a memo stating engineers now help LLMs write code, not write code themselves.
  • OpenAI employee Peter Steinberger predicts the traditional software engineer job is gone if AI progress continues.
  • Ruby on Rails creator DHH and SpaceX engineer Lauren Tan supported the view that AI redefines engineering roles.

The memo sparked significant discussion among tech leaders. Peter Steinberger, an OpenAI employee and creator of the OpenClaw agent, supported the stance, predicting that if AI progress continues at its current pace, the traditional software engineering job will disappear within two years. He acknowledged the identity crisis engineers face but noted that Proton CEO Andy Yen understands the business necessity of adaptation.

Other prominent figures, including Ruby on Rails creator David Heinemeier Hansson and SpaceX principal engineer Lauren Tan, echoed the sentiment. DHH criticized engineers who view AI as merely another tool, while Tan described engineers as leading "incredibly elastic" workforces of models. Plover Labs cofounder Edward Ahn highlighted a trend where CEO memos on AI are becoming increasingly direct about the displacement of traditional coding roles.

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  1. Proton CTO Bart Butler says engineer job is to help LLMs codethis story
Full story from businessinsider.com · by Henry Chandonnet · via Search: ProtonOpen source ↗

Proton's CTO wrote a manifesto for the AI coding age. It struck a nerve with engineers.

businessinsider.com · 30 October 2026

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This text was published by businessinsider.com and written by Henry Chandonnet. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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