BigInt solves integer precision but introduces serialization and compatibility issues. Here's what to watch for. This guide is written for developers who ship fast and need production to stay stable.
Understanding the root cause
Most production errors have a small number of root causes that repeat in different forms. Before jumping to a fix, understand why this particular error occurs — the environment differences between dev and production that allow it to hide until users find it.
How to reproduce it
The hardest part of fixing production bugs is reproduction. Without good monitoring, you're guessing. With ProdFix, you have: the exact stack trace, the user's browser and OS, the session replay showing what they were doing, and the application state at the moment of failure. This is enough to reproduce 90% of "can't reproduce" bugs.
The fix pattern
Once you understand the cause:
- Write the fix in a branch
- Add a regression test that reproduces the failure
- Verify the test passes with your fix
- Deploy to staging, confirm the error doesn't appear
- Deploy to production, watch error dashboard for 15 minutes
Preventing recurrence
Every bug you fix is an opportunity to prevent a class of similar bugs. After fixing, ask: what category of mistake caused this? Add defensive code, a TypeScript type, or a validation check that prevents the same mistake in different parts of the codebase.
Using AI to fix faster
With ProdFix MCP connected to Cursor, you can ask: "show me the full context for the top production error" and get the complete stack trace + session context. Then ask Cursor to fix it. For most production bugs, this workflow takes under 10 minutes from detection to fix deployed.
Stop flying blind in production.
ProdFix gives you error monitoring, performance tracking, security alerts, and AI-powered fixes — built for solo founders and vibe coders. One SDK, 2-minute setup, MCP for Cursor + Claude Code.