What this error means
weekly rate limit exceeded — Copilot locked out for 44 hours after hitting rate limits; sub-30s retry windows cycle indefinitely is a GitHub Copilot failure pattern reported for developers trying to developer paying for copilot pro+ hits an unexpectedly long rate-limit block that breaks coding workflow for hours; needs workaround or faster resolution path.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
The Register (April 15, 2026) reported that after fixing a token undercounting bug, GitHub imposed strict rate limits. Paid Pro+ user John Clary experienced a 44-hour 'weekly rate limit' lockout. Multiple community discussion threads show dozens of complaints in two days about 'obscenely long rate limits' and multi-day waits. Severity elevated because it directly blocks paying enterprise/pro users.
Common causes
- The Register (April 15, 2026) reported that after fixing a token undercounting bug, GitHub imposed strict rate limits. Paid Pro+ user John Clary experienced a 44-hour 'weekly rate limit' lockout. Multiple community discussion threads show dozens of complaints in two days about 'obscenely long rate limits' and multi-day waits. Severity elevated because it directly blocks paying enterprise/pro users.
Quick fixes
- Confirm the exact error signature matches
weekly rate limit exceeded — Copilot locked out for 44 hours after hitting rate limits; sub-30s retry windows cycle indefinitely. - Check the GitHub Copilot account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.