Story

Resolving a Production Bug Before Morning via Cursor

A solo founder building a SaaS application alone without a DevOps team.

1 min readWritten from prodfixai.com✓ Approved by the founder · 9 Oct 2026
On this page
  1. The story
  2. Questions

01The story

Saturday evening arrived, and the solo founder pushed the latest code deployment live for the web application. Everything appeared normal locally, and the developer closed the laptop to enjoy the rest of the weekend without anticipating any unexpected downtime.

By Sunday night, however, a critical bug slipped into the production environment. When specific visitors navigated straight to the checkout view without loading the cart first, the application crashed with an uncaught exception. Because the project integrated the monitoring SDK via a simple command, the runtime environment immediately captured the stack trace, user session context, and exact error details.

Without this monitoring integration, the developer would have remained completely blind until checking Twitter or receiving angry customer complaints days later. Instead, the runtime deployment immediately processed the exception and routed the production telemetry directly into the AI coding assistant via the Model Context Protocol server running on the machine.

Monday morning arrived, and the founder opened Cursor without manually opening a web dashboard or sorting through raw log files. Simply typing a natural language question into the chat interface prompted the AI assistant to query live production data. The editor instantly retrieved the exact stack trace, noted that multiple users were affected by the issue, and explained the root cause in plain English: the cart array was undefined during direct navigation.

Along with the diagnostic summary, the system provided a precise, code-level fix suggestion for the affected file and line number. The developer reviewed the suggested code correction, applied the fix directly inside the workspace, and staged the patch for deployment in minutes. By leveraging IDE-native production monitoring, the solo creator successfully identified and resolved the critical crash before most users even noticed the disruption.

An illustrative story built only from features Prodfix AI offers.

02Questions

How far back can I view event history on the Pro plan?

The Pro plan retains event data for up to 90 days.

Source: prodfixai.com
What security risks does ProdFix check during code deployments?

It checks runtime deploys for leaked secrets, Content Security Policy issues, and vulnerable dependencies.

Source: prodfixai.com
How does the performance monitoring module detect site regressions?

It monitors Core Web Vitals across real user visits and alerts you if a deploy decreases speed.

Source: prodfixai.com
How long is event data retained on the Free plan?

Data captured on the Free plan is retained for 14 days.

Source: prodfixai.com
Can I use ProdFix with the Zed editor?

Yes. ProdFix connects to Zed via its MCP server.

Source: prodfixai.com
Can I test the security scanner without creating an account?

Yes. You can run the free security scan without registering for an account.

Source: prodfixai.com

Delivers production bug, UX, security, and performance data directly into AI editors for solo founders.