How to Test Your Lovable, Bolt, or Replit App Before You Ship It

TL;DR: You don’t need Selenium or a test framework to catch regressions in a Lovable, Bolt, or Replit app. Paste the URL, describe the flow in plain English, and let a real browser click through it the same way a user would, screenshotting each step so you can see exactly where it breaks.

You built something with Lovable, Bolt, or Replit and it works. You clicked through it yourself and it looked right. But “I clicked through it” isn’t a test plan, and the next prompt you send to add a feature might quietly break the one you already shipped. Here’s a practical way to actually test it before your users find the bugs for you.

Start with the flows that matter most

You don’t need to test everything on day one. Start with the paths that would actually hurt if they broke: can a new visitor sign up? Can a returning user log in? Does the primary action of your app, such as booking, checkout, or submitting a form, complete without an error? These three or four flows are usually where real damage happens, and they’re the easiest to describe in plain English because you already know them by heart.

Describe the test the way you’d describe it to a person

This is the part that trips people up coming from a “no QA tooling” background. You don’t need Selenium syntax or a testing framework’s API. With WayRunner, you paste your app’s URL and write the instruction the same way you’d explain it to a new hire: “Sign up with a new email, confirm the account, and check that the dashboard loads with an empty state.” A Planner reads that instruction and breaks it into concrete browser steps; a real Chromium browser executes them one at a time, and you watch a screenshot after every step.

Handle login without pasting your password into a chat

Most meaningful flows sit behind a login. If you’re testing an authenticated flow, WayRunner’s vault lets you store credentials for the site once, encrypted, and matched automatically the next time a run needs them; you re-enter your vault passphrase through an isolated frame, and the password itself never reaches the AI reasoning about the test or shows up in any log. That’s the difference between “testing my app” and “leaking my staging admin password into a support ticket.”

Watch it fail and read why

The value isn’t just in the green checkmark. When a step doesn’t do what you expected, you get the screenshot from that exact moment and a description of what the assertion found instead. That’s usually enough to tell whether the bug is in your app or in the instruction you wrote; no stack trace required, because there isn’t a stack, just a browser doing what a user would do.

Make it a habit, not a one-off

The real payoff shows up on your second and third rounds of AI-generated changes. Re-run the same plain-English test after each new feature prompt, and regressions show up in minutes instead of in your users’ inboxes. For apps that live entirely in a builder like Lovable, Bolt, or Replit, this is the closest thing to a safety net that doesn’t require you to learn to write code. If you’re wondering why traditional QA tooling doesn’t fit this workflow in the first place, we get into that in QA testing for AI-built apps: what changes when you skip the code.

Try it on your own app: wayrunner.run/#signup.