BugBash is error monitoring for small teams and solo builders shipping AI-built apps. Wrap your React or Next.js app once: it catches every crash with full session replay, explains it in plain English, and writes a fix prompt you paste straight into your own AI agent.
totalhadn't finished loading.CartSummary reads order.total before the fetch resolves on first paint.order ?? {} before computing totals.Five steps, mostly automatic: BugBash catches the crash, explains it, drafts the fix prompt, writes the test, and runs it everywhere.
Wrap your app once in <BugBash> and every crash lands in the Crash inbox with session replay, console logs, network requests, breadcrumbs, and a screenshot from the moment it broke.
Each crash arrives already triaged into four parts: what broke, the likely root cause, a suggested fix, and a confidence score. No stack-trace literacy required.
BugBash doesn't auto-fix anything or open pull requests. It writes a grounded fix prompt with a Copy prompt button. You paste it into Cursor (or any agent) and ship a fix you actually understand.
BugBash writes an end-to-end test that reproduces the crash, and turns a plain-English scenario anyone on the team can write into a test too. Proof the bug is gone, not a hunch.
Run your E2E regression suite against dev, staging, preview, and production. Watch pass / flaky / fail trends, replay the traces, and review the videos per Workspace environment.
Every crash in the Crash inbox comes with a fix prompt drafted from the real evidence: the stack trace, the failed requests, the console logs, the breadcrumbs. One click drops it into the agent that built your app.
order ?? {} before computing totals, or guard with a loading state.BugBash turns a real crash into a reviewable Playwright test, then runs it across every environment. So “it's fixed” becomes something you can prove, not just something you say.
1// reproduced from crash #BB-2241 2import { test, expect } from '@playwright/test'; 3 4test('checkout survives an unloaded total', async ({ page }) => { 5 await page.goto('/checkout'); 6 await page.getByRole('button', { name: 'Pay' }).click(); 7 await expect(page.getByText('Order confirmed')) 8 .toBeVisible(); 9});
Writing an end-to-end test used to mean learning selector syntax. Now anyone who knows how the product should behave can protect the flows that matter, in plain words. The result is reviewable, editable, and exports as a .spec.ts file.
The scenario, as written“A returning shopper opens checkout, restores cart cart_8842, applies the SPRING20 promo, pays with a saved card, and sees the success screen with no error.”
1goto('/checkout') 2restoreCart('cart_8842') 3applyPromo('SPRING20') 4payWithSavedCard() 5expect('Order confirmed').toBeVisible()
The moment something breaks, the wrapper has already saved what happened, so the triage and the fix prompt are built on facts, not guesswork.
The exact clicks that led to the crash, recorded and masked by default.
The last log, warning, and error lines in the order they fired.
Recent requests with status codes and timing; failed fetches surface at once.
Clicks, form submissions, and navigation, captured right before impact.
A snapshot of the screen at the precise moment everything went wrong.
No credit card to start. Billed monthly, cancel whenever.
For the solo builder shipping a first app.
For anyone shipping more than once a week.
For a team keeping watch on production together.
Add the wrapper and every crash shows up explained, with a fix prompt and a test attached. No card to start.