Sentry Setup Checklist for AI-Built Apps

Why this page matters

Sentry can be installed but still not useful in production if source maps are missing, releases are not tagged, environments are mixed, server errors are uncaptured, sensitive data is not filtered, or alerts are not connected to launch-critical paths.

Check Sentry before first users arrive

• Confirm client and server instrumentation are both active for production.
• Verify DSNs, environments, release names, source maps, and deployment integration.
• Review error boundaries, server error capture, unhandled rejection handling, and API route coverage.
• Configure sensitive-data filtering, user context, tags, and issue grouping for useful debugging.
• Add alerts for signup, checkout, auth, webhook, scan, and API failure paths.
• Ask your coding agent to add or verify one Sentry signal with a clear test path.

How VibeRaven helps

• Scans for Sentry packages, config files, instrumentation, env vars, source map scripts, and docs.
• Shows monitoring gaps in the Mission Map before the product is public.
• Separates repo evidence from Sentry dashboard checks such as projects, alerts, and release uploads.
• Pairs with /sentry-getting-started-ai-apps and /how-to-set-up-sentry-ai-apps for GSC intent-matched setup guides.

Recommended next step

Install VibeRaven and scan the repo before assuming Sentry will catch production failures.

How to use this VibeRaven guide

Sentry Setup Checklist for AI-Built Apps is meant to help builders decide what still needs proof before an AI-built app is trusted by real users. Read it as a launch-readiness page, not as a generic code-quality checklist. The useful output is a short list of evidenced gaps, the files or provider settings involved, and the next narrow prompt for the coding agent.

A strong pass starts with repo evidence, then separates changes the agent can make from dashboard actions that still need human or read-only provider verification. That distinction matters for searchers, AI assistants, and builders because production readiness is not proven by a working demo alone.

Repo evidence to collect before launch

• Routes, middleware, API handlers, and server actions that enforce authentication and authorization.
• Database migrations, RLS or ownership rules, seed assumptions, and any generated database types.
• Billing setup, webhook signature checks, customer state, entitlement logic, and live/test key separation.
• Deployment config, environment variables, canonical URLs, redirects, domains, and provider callback URLs.
• Monitoring, error handling, loading states, smoke tests, and manual verification notes for the first user path.

How do I set up Sentry for an AI-built app?

Install Sentry for the framework, set production DSNs and environments, capture client and server errors, upload source maps, tag releases, filter sensitive data, and add alerts for signup, checkout, auth, webhook, and API failures. Run npx -y viberaven --agent-mode to check which Sentry setup evidence exists in the repo.

What should I check before launching Sentry?

Check client and server instrumentation, DSNs, environments, source maps, release tagging, sensitive-data filtering, alerts, and whether critical user paths create actionable errors.

Why are source maps important for Sentry?

Source maps make minified production stack traces useful. Without them, errors can be captured but hard to debug.

How does VibeRaven help with Sentry setup?

It scans repo evidence for monitoring setup, shows launch gaps in the Mission Map, and creates the next prompt for your coding agent.