extension-errors-debugging

Diagnosing extension errors involves interpreting stack traces, context, and environment data to pinpoint failures in background or UI contexts. It maps errors to specific code paths under app/scripts/ and ui/pages/ to locate failing modules quickly.

MV3 service-worker lifecycle issues cause background errors distinct from MV2 background behavior, often involving latency or keepalive problems. Diagnosing these extension errors requires mapping the stack trace to identify whether the service worker is unexpectedly terminating or failing to wake.

Tracing an extension stack trace involves mapping the trace lines to precise code paths under app/scripts/ and ui/pages/ directories. This locates the failing module by correlating the stack frames with your specific project structure and environment data.

Yes, you can use Sentry logs and dist/installType filters to reproduce extension errors. Analyzing these environment signals allows you to categorize errors and replicate the exact production-like configuration needed to isolate the root cause effectively.

To start diagnosing an extension error, you need the manifest version, the execution context (MV3 or MV2), and a representative stack trace. Including dist and installType environment signals further ensures accurate reproduction and categorization of the issue.