What this error means
Ghost text suggestions stop appearing, Copilot icon still visible but no responses triggered — silent rate limit exceeded is a GitHub Copilot failure pattern reported for developers trying to restore github copilot suggestions after invisible rate limit blocks completions. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
First-hand account on Tech Sifted: developer mid-refactor experienced silent Copilot failure. Root cause was rate limiting — VS Code restart cleared it. Subscription stays active (free tier 2000 completions/month or paid $10+/month), but users don't get notified of rate limits. Strong commercial signal affecting paying subscribers silently.
Common causes
- First-hand account on Tech Sifted: developer mid-refactor experienced silent Copilot failure. Root cause was rate limiting — VS Code restart cleared it. Subscription stays active (free tier 2000 completions/month or paid $10+/month), but users don't get notified of rate limits. Strong commercial signal affecting paying subscribers silently.
Quick fixes
- Confirm the exact error signature matches
Ghost text suggestions stop appearing, Copilot icon still visible but no responses triggered — silent rate limit exceeded. - 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.