openai / openai/codex

performance issues

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app bug performance session
Dominant language
Rust
Stars
125k
Forks
19.5k
PR merge metrics
PR metrics pending

Description

What version of the Codex App are you using (From “About Codex” dialog)?

26.810.7004.0.

What subscription do you have?

pro 20x

What platform is your computer?

No response

What issue are you seeing?

Opening a large thread spawns a sustained multi-core CPU burst — peak 7.3 cores over ~27 seconds on a 24-core 14900K — with GPU utilisation under 20% throughout. Some renderer processes run at AboveNormal priority. On high-refresh displays this starves the compositor and produces system-wide cursor stutter. Cost scales with transcript size; this corpus has 13 threads over 5 GiB, largest 12.10 GiB. Version 26.810.7004.0.

What steps can reproduce the bug?

optimizations

What is the expected behavior?

No response

Additional information

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Reproduce the issue by opening the reported large thread in Codex App version 26.810.7004.0, then profile CPU and GPU utilisation, renderer priority, and cursor stutter during the roughly 27-second burst. Done means large transcripts no longer cause sustained multi-core CPU spikes that starve the compositor.

Written by the indexing model from the issue text.

Assessment

Tech stack
rust
Domain
desktop-dev, performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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