Prismix
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Is Tabnine Down?

Check live Tabnine status — AI code completion for VS Code and JetBrains, team learning mode, local model option, and Enterprise on-premises. See recent incidents and set up free email alerts.

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Tabnine — live status

Updated every 5 minutes. Full history at prismix.dev/service/tabnine.

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Quick check: is Tabnine down right now?

  1. Prismix: prismix.dev/service/tabnine — live status + 30-day uptime + incidents.
  2. API call: curl https://prismix.dev/api/v1/statuses | jq '.services[] | select(.id=="tabnine")'
  3. Direct test: Check connectivity to hub.tabnine.com on port 443 — the Tabnine extension requires this connection for completions. Use the Tabnine output panel in VS Code (View → Output → Tabnine) for connection diagnostics.

Common causes of "Tabnine not working"

  • Code completions stopped appearing in VS Code — Tabnine requires an active connection to hub.tabnine.com on port 443. Open the Tabnine output panel (View → Output → Tabnine) to see connection errors. Corporate firewalls often block the WebSocket connections that Tabnine uses — whitelist hub.tabnine.com in your proxy settings to restore completions.
  • Tabnine Basic vs Pro completions — Tabnine Basic provides short single-line completions only. Tabnine Pro enables whole-line, full-function, and natural language completions. After logging in, confirm Pro features are active — the VS Code status bar should show "Tabnine Pro". Free users see suggestions labeled as Pro but receive only a limited subset of completions.
  • Completions outdated or suggesting deprecated patterns — Tabnine's team learning model learns from your repository over time. If suggestions use old patterns, enable Tabnine Team to update the model based on recent commits. Initial indexing of a large repository can take several hours. Check indexing progress in the Tabnine Hub dashboard.
  • High CPU or memory usage by the Tabnine extension — On first install, Tabnine's indexer background-processes your entire codebase. Restrict the indexed directory to your source code by excluding node_modules, .git, and dist via the tabnine.excludedFiles setting. The local model option requires more RAM but reduces outbound network traffic.
  • Tabnine Local Model not loading — Tabnine Enterprise supports running a local model on-premises, which requires a minimum of 16 GB RAM and a 4-core CPU. The local model binary must be manually installed via the Tabnine Hub. If the local model crashes, Tabnine silently falls back to cloud completions — watch the status bar to confirm which mode is active.
  • JetBrains plugin not activating after IDE update — Tabnine's JetBrains plugin must be compatible with the installed IDE version. After updating IntelliJ IDEA, PyCharm, or another JetBrains IDE, the plugin may disable itself automatically. Re-enable it via Settings → Plugins. If the current plugin version does not yet support the new IDE version, a compatible Tabnine release typically ships within 1–2 weeks of major IDE updates.

Set up free email alerts for Tabnine

  1. 1

    Sign in to Prismix

    Go to prismix.dev/sign-in — email OTP or GitHub sign-in.

  2. 2

    Star Tabnine

    On prismix.dev/service/tabnine, click the ☆ star icon.

  3. 3

    Alerts are live

    You'll get an email within minutes of any status change.

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