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How It Works

auralog connects your application logs to AI-powered analysis and automated fixes. Here’s the full pipeline:

The auralog SDK captures logs, errors, and unhandled exceptions from your application. Logs are batched and sent to the ingest endpoint. Errors are sent immediately.

The ingest worker at ingest.auralog.ai validates your API key, checks your plan quota, and stores logs in the database.

When error or fatal logs arrive, they trigger an AI analysis. Claude reviews:

  • The error message and stack trace
  • Recent logs from the same project for context
  • Your connected source code (if a GitHub repo is linked)

Depending on your setup:

  • Dashboard — analyses appear in your project’s Analyses tab with severity, root cause, and recommendations.
  • Email — you receive a notification with the analysis summary.
  • Webhooks — send analysis data to Slack, Discord, or your own incident management tools.
  • Autofix PR — if a GitHub repo is connected, Claude can open a pull request with the fix.

In addition to real-time error analysis, Claude runs periodic reviews of your logs to detect patterns, recurring issues, and trends that individual error analysis might miss.