AI Coding Tools: Status & Uptime Comparison [Claude Code/Codex/Cursor/Copilot]
We line up the current status and uptime (our own estimate) of the four major AI coding tools (Claude Code / Codex / Cursor / GitHub Copilot) in the table above. It is a comparison to help you quickly pick "which one works right now" when your development stalls.
Status comparison (live)
| Service | Status | 24h uptime | 7d uptime |
|---|---|---|---|
| Claude Code | Operational | 100% | 100% |
| Codex | Operational | 91.48% | 94.68% |
| Cursor | Operational | 100% | 100% |
| GitHub Copilot | Operational | 100% | 100% |
Uptime is our own estimate (share of operational), not official vendor figures, based on data since monitoring began.
Status at a glance
In the table above you can check the current status and 24-hour and 7-day uptime (our own estimate) of all four tools side by side. Picking one that is "normal" and has higher uptime minimizes your wait time.
Uptime is our own estimate based on the snapshots we have collected since we began monitoring, and it is not an official figure from any company.
Spotting which move together vs. independently by dependency
Claude Code depends on Anthropic, Codex on OpenAI, Cursor on Cursor itself (plus each model provider), and GitHub Copilot on GitHub. Tools with the same dependency tend to be affected at the same time, while different ones mean one stays usable when the other goes down.
For example, when the Claude API is overloaded, Claude Code is likely to be affected, in which case OpenAI-based Codex, or Cursor / Copilot on a different path, become candidates.
What to do when one stalls
First check each tool's status in the table above and switch to one that is normal. At the same time, breaking tasks into smaller pieces and choosing a lighter model makes you less likely to hit limits or overloads.
Remedies for each tool's specific errors (usage limits, connection, authentication, MCP, no completions, and so on) are gathered in the error-fix index (/errors).
FAQ
Which AI coding tool is the most stable?
It shifts over time. Check the latest trend using the uptime (our own estimate) in the table above, and pick one that is "normal" and has high uptime.
Can they all go down at the same time?
Because the providers are different, a simultaneous total outage is rare, but when demand spikes across the whole industry, several can slow down at once. Using tools with different dependencies together spreads out the risk.