Codex painfully slow lately? One user shares what they checked
A Reddit user asked whether OpenAI's Codex coding tool has been unusually slow recently, and shared a self-diagnosis of possible causes. The findings point to server-side slowness rather than a local issue. This matters if you rely on Codex for daily coding tasks.
Codex is a cloud-based AI coding assistant made by OpenAI — it writes or edits code for you via the internet. The Reddit post reports noticeably slower response times over recent days, and the author walked through what they tested (internet connection, browser, etc.) before concluding the bottleneck is on Codex's servers, not the user's end. For someone running a Mac mini server, this is only relevant if Codex is part of your workflow; if you run a local LLM directly on your machine, you're unaffected by cloud service slowdowns like this.
Key points
- Codex is OpenAI's cloud AI coding tool — slowness is on their servers, not your setup.
- The author ruled out local causes (internet, browser) before concluding it's a service-side issue.
- Multiple users in the thread confirmed the same slow behavior.
- Running a local LLM on your own machine avoids this kind of cloud dependency entirely.
Quick term guide
- server
- A computer that stores files and shares them with other devices in your home.
- Mac mini server
- A Mac mini used as an always-on computer for files, apps, backups, or automation.
- Mac mini
- A small desktop computer made by Apple.
- workflow
- A repeatable set of steps for getting a task done.
- local LLM
- An AI language model that runs on your own computer instead of on a remote server.
- cloud AI
- AI that runs on another company’s servers instead of your own computer.
- AI coding tool
- Software that uses AI to help write, edit, or explain code.
- dependency
- An external library or package that your program needs in order to run.