Comparison

TraceBug vs Sentry

Sentry tells you an error happened. TraceBug gives your AI everything it needs to fix it.

Try TraceBug in 30 seconds:

$ npm install tracebug-sdk
import TraceBug from "tracebug-sdk";
TraceBug.init({ projectId: "my-app" });

Why developers choose TraceBug over Sentry

Full context, not a stack trace — DOM replay, repro timeline, console, and network around the failure, in one file
AI-agent ready — the report is machine-readable over a local MCP server; Claude Code or Cursor investigates it directly
Generated failing Playwright test per report — your agent (or CI) verifies the fix
Zero backend, zero DSN, zero event quota — works in 2 minutes with no per-event pricing
Privacy-first — nothing is uploaded anywhere; Sentry ships every error to their cloud
QA-friendly — testers capture with the extension, no code access needed

When Sentry might be a better fit

Sentry monitors production passively at scale — TraceBug captures bugs deliberately, one at a time
Sentry has server-side error tracking (Python, Ruby, Java, etc.), alerting, and PagerDuty/Slack integrations
Sentry has performance monitoring, tracing, and release-health dashboards

Ready to try TraceBug?

Free, open source, and takes under 2 minutes to set up.