WayRunner vs Autonoma: Which One Fits an App With No GitHub Repo

TL;DR: Autonoma is a strong choice if you have a maintained GitHub repo, an engineering team, and a pull-request workflow, since it reads your codebase and needs test data wired through an SDK. If your app came out of Lovable, Bolt, or Replit and doesn’t have that kind of repo behind it, WayRunner skips all of it: you paste a URL, describe the flow in plain English, and a real browser runs it. Which one is right depends entirely on which of those two situations you’re actually in.

You’re comparing these two tools because you’ve hit the same wall: your AI-built app works, mostly, and you have no real way to check that it still works after the next change. Both WayRunner and Autonoma are AI testing tools built to replace the QA team you don’t have. But they start from opposite assumptions about what your app looks like under the hood, and picking the wrong one means paying for infrastructure you can’t actually use.

What Autonoma actually needs to work

Autonoma is a genuinely capable platform, and it’s honest about what it requires. Per its own docs, it installs as a GitHub App on your repository so it can read your codebase and map your pages, components, and user flows before it writes a single test. Then you wire your own “create” and “teardown” functions through an SDK, so Autonoma can seed and clean up real test data the same way your app does, down to password hashing and foreign key relationships. Once that’s set up, it runs on every pull request and reports pass or fail right in your PR.

That’s a solid model if you already have a codebase, a GitHub workflow, and someone on the team comfortable writing a few lines of TypeScript to define those factory functions. It’s exactly what teams like Vercel and Superhuman need: continuous, code-aware testing wired into CI.

Where that assumption breaks for a vibe-coded app

Here’s the problem: a lot of apps built in Lovable, Bolt, or Replit don’t have that kind of repo. Lovable, for instance, only turns on GitHub sync for paid plans; on the free tier you get a ZIP download, not a live repository Autonoma can install itself onto. Even once you’re synced, writing SDK factory functions assumes you can read and write basic backend code, which is exactly the skill a non-technical founder using an AI builder usually doesn’t have and doesn’t want to hire for yet. We wrote more about why traditional QA tooling assumes things that don’t hold for AI-built apps in QA testing for AI-built apps: what changes when you skip the code, and the gap is the same one here: no repo connection, no engineer to wire it, no test.

How WayRunner tests the same app without any of that

WayRunner starts from the other end. You paste the live URL of your app and describe what should happen in a sentence, the same way you’d explain it to a new hire: “a new user can sign up, verify their email, and reach the dashboard.” A Planner model (Claude Haiku 4.5, specifically) reads that instruction alongside a screenshot of the current page and decides the next concrete action, and an Executor, a real Chromium browser driven by Magnitude Core, actually clicks, types, and navigates. Every run is capped at 40 steps and 10 minutes so a stuck test fails loudly instead of burning through your usage quietly. There’s no code to read because there’s no code involved; the browser only ever sees the URL, same as any visitor would.

Logging in works the same way. WayRunner’s credential vault runs through an isolated Secret Broker service on its own origin, so your password is typed once, encrypted, and injected straight into the browser at the moment it’s needed; the Planner model reasoning about what to click next only ever sees an opaque reference to it, never the value itself. If you want the full walkthrough of setting up a real flow this way, we cover it step by step in how to test your Lovable, Bolt, or Replit app before you ship it.

What it actually costs to run each one

Autonoma’s pricing is public and reasonable for what it does: $0 to start with 100,000 free credits, then $100 per 150,000 credits pay-as-you-go, with a free self-hosted option if you’re willing to run and maintain the infrastructure yourself. None of that is expensive relative to the alternative most teams are actually comparing it to, which is a hire. A QA engineer in the US averages $101,311 a year according to Glassdoor’s 2026 figures, and that’s before you factor in the ramp-up time of someone learning your codebase.

WayRunner is still in early access and hasn’t published pricing yet; there’s no billing system live today, so this isn’t a place to compare numbers honestly. What’s worth weighing instead is setup cost: Autonoma’s pricing assumes you’ve already cleared the GitHub App install and SDK wiring step, which for a solo founder without an engineering background is the actual barrier, not the dollar amount.

Which one is the right fit

If your app has a real, maintained repository, a team that ships through pull requests, and you want test coverage that runs automatically on every merge, Autonoma is the more mature tool; it’s SOC 2 certified, backed by real infrastructure, and built specifically for that CI-driven workflow. If your app lives entirely inside Lovable, Bolt, or Replit, you’re the only person touching it, and you’ve never opened a terminal to write a factory function, WayRunner is built for that exact gap: no repo, no SDK, just a URL and a sentence describing what should work.

Neither tool is wrong here; they’re just answering different questions. The mistake is picking the one built for a codebase you don’t have.

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