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codex - 💡(How to fix) Fix Option+Backspace word deletion is very slow [2 comments, 2 participants]

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openai/codex#19564•Fetched 2026-04-26 05:14:54
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arunsathiyaarunsathiya
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arunsathiyaarunsathiyaetraut-openaietraut-openai
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Option+Backspace still deletes by word for me, but the deletion has become noticeably slow. It used to feel immediate, and other apps on the same machine still erase words quickly, so this feels like a Codex CLI regression rather than a shortcut-mapping issue.

I’m on OpenAI Codex v0.121.0 on macOS 26.5 (arm64). I don’t know exactly which release introduced it, but in recent updates word-by-word erasing with Option+Backspace started feeling delayed and sluggish even though the deletion itself still works.

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TL;DR

The slow deletion issue with Option+Backspace in Codex CLI may be related to a regression introduced in a recent update, and checking the release notes or reporting the issue to the development team could help resolve the problem.

Guidance

  • Verify that the issue is specific to Codex CLI by testing Option+Backspace in other apps on the same machine to confirm that the problem is not related to the shortcut mapping.
  • Check the release notes for OpenAI Codex v0.121.0 and previous versions to see if any changes were made that could be causing the slow deletion issue.
  • Report the issue to the Codex CLI development team, providing details about the version and platform (macOS 26.5, arm64) to help them investigate and potentially fix the problem.
  • Consider testing an earlier version of Codex CLI to see if the issue is present, which could help identify when the regression was introduced.

Notes

The exact cause of the issue is uncertain, and more information may be needed to determine the root cause of the slow deletion problem.

Recommendation

Apply workaround: Report the issue to the development team and wait for a potential fix, as the problem seems to be related to a regression in the Codex CLI.

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codex - 💡(How to fix) Fix Option+Backspace word deletion is very slow [2 comments, 2 participants]