Sentry

Fix Your AI-Built Sentry Integration

Application monitoring and error tracking platform. AI tools misconfigure source maps, capture too much or too little data, and miss performance monitoring.

Common Sentry issues we find

Problems specific to AI-generated Sentry integrations.

Source maps not uploaded or configured correctly

AI-generated Sentry setups don't configure source map uploads, making production error stack traces unreadable minified code instead of your actual source files.

DSN exposed in client bundle without allowed origins

Generated code includes the Sentry DSN in client-side code without configuring allowed origins in the Sentry dashboard, allowing anyone to send fake errors to your project.

Excessive breadcrumb and PII capture

AI tools configure Sentry with default settings that capture console logs, network request bodies, and user data without scrubbing sensitive information.

Performance monitoring sample rate set to 100%

Generated code sets tracesSampleRate to 1.0, sending every single transaction to Sentry and exhausting your quota within hours on high-traffic apps.

Not using framework-specific SDK

AI tools import @sentry/browser for Next.js apps instead of @sentry/nextjs, missing automatic route-based transaction naming, API route error capturing, and edge runtime support.

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How it works

1

Tell us about your app

Share your project details and what you need help with.

2

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We respond within 24 hours with scope, timeline, and a fixed price.

3

Launch with confidence

We get to work, deliver results, and stick around to help.

Frequently asked questions

Why are my Sentry errors showing minified code?

AI tools set up error capturing but skip source map configuration. For Next.js, you need the @sentry/nextjs withSentryConfig wrapper and proper auth token configuration to upload source maps during build. We configure the full pipeline.

How do I reduce my Sentry usage without losing critical errors?

AI tools set sample rates to 1.0 for everything. A proper configuration uses 1.0 for errors but a lower rate (0.1-0.2) for performance transactions, with beforeSend filtering to drop known non-issues and noisy third-party errors.

Is my AI-generated Sentry setup capturing sensitive data?

Very likely. Default Sentry configuration captures request bodies, console logs, and user context. You need to configure beforeSend and beforeBreadcrumb hooks to scrub PII, plus set sendDefaultPii to false. AI tools never configure data scrubbing.

Need help with your Sentry integration?

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