Your AI writes code faster than anyone verifies it. Meet the other half.
You ship with Claude Code or Cursor five times a week and find out a deploy broke checkout when a user complains. QAForge is an autonomous QA engineer: it discovers your critical flows, writes the Playwright suite into your repo, runs it on every PR and against prod daily, self-heals when your UI changes, and drops a verdict in the PR.
Founder pilot · limited spots · no charge today
You ship 10x faster than you test — which is to say, you don't test
Every AI-generated PR is a regression you didn't review
Codegen made you fast. It also made every merge a coin flip: nobody reads the diff line by line anymore, there's no E2E suite behind it, and the first 'test' your checkout gets is a paying user hitting a broken button — sometimes three days after the deploy.
You tried Playwright once. The selectors broke. You quit.
Writing tests isn't the hard part — keeping them alive is. One redesign and half your selectors are dead, CI goes red for fake reasons, and you disable the suite 'temporarily'. That was eight months ago. The scar every indie dev carries.
Agentic QA exists — priced for teams, not for you
The funded players solved this for companies: QA Wolf runs $60k–250k/year, Bug0's 'cheap' plan starts at $2,500/month, Momentic hides pricing behind a sales call. $1.5B of VC went into autonomous QA and not one self-serve plan exists under $100/mo. The segment shipping the most regressions has the least coverage.
A QA engineer that never sleeps, never quits, and costs $29
It discovers your flows and writes the suite — into your repo
Point it at your URL and connect the GitHub App. The agent navigates your app with Playwright + vision, finds signup, login, checkout, your core loop, and proposes a readable Playwright suite as code in your own repo — versioned, yours, no lock-in. You never write a test.
It runs 24/7 and self-heals when your UI changes
The suite runs on every PR and as a daily smoke against production. When a redesign breaks a selector, the agent re-locates the element by vision and semantics, patches the test itself, and notes the fix. It only escalates to you when behavior actually changed — regression or feature, your call.
Verdicts land in your PR, not in a dashboard you'll never open
'This PR breaks checkout on mobile viewport' — with a video of the failure and the exact step. You read it where you already work, in code review, and decide to merge or fix. Discovery, execution, maintenance and triage are autonomous; the decision stays yours.
From deploy-and-pray to covered in four steps
Connect the GitHub App and point QAForge at your production or staging URL.
The agent explores your app, finds the critical flows, and opens a PR with your initial Playwright suite.
Every PR triggers the affected tests; a daily smoke runs against production
Broken selectors self-heal silently.
Real behavior changes land in your PR as a verdict with video
you merge, fix, or confirm it's a feature.
Pricing
Indie
For the solo dev with one app in production. Flow discovery, full suite in your repo, runs on every PR, daily prod smoke, self-healing, PR verdicts. The cheapest QA engineer in the world.
Pro
For the builder running up to 3 apps. Everything in Indie plus multi-viewport smoke (mobile included), Slack/email alerts, run history, and higher run limits.
Team
For portfolio builders and 1–3 person micro-agencies maintaining up to 10 apps. One agent watching your whole portfolio — the QA that doesn't scale humanly, automated.
Your test suite lives as readable Playwright code in your own repo — leave anytime and keep everything. You pay for the hosted loop: browsers running 24/7, vision-based self-healing, prod smoke, and PR verdicts. Usage-based overage on runs above your tier.
A deploy on a Friday broke my Stripe checkout and I found out on Monday from a churned customer. I'd tried Playwright before and gave up when the selectors rotted. What I actually wanted was this: an agent that keeps the suite alive, tests prod every morning, and tells me in the PR when something real broke — not another test generator I have to babysit.— Name, indie hacker · Founder pilot
Testimonio de piloto en validación.
Preguntas frecuentes
My AI editor already writes Playwright tests. Why pay you?
Because writing the test is the free 10% — keeping it alive is the 90% nobody does. Claude Code writes you a suite today; who re-runs it on every PR, smokes production at 6am, repairs the selectors after next week's redesign, and triages flaky-vs-real? QAForge isn't a test generator — it's the hosted 24/7 loop: run, self-heal, watch prod, verdict in the PR. That's a service, not a code snippet.
Flaky tests burned me before. How is this not more noise?
Noise is the product killer and we treat it that way. Selector breakage gets self-healed silently — you never see it. Suspected-flaky tests go to quarantine, not your PR. Only real behavior changes escalate, with video proof of the exact failing step. We hold ourselves to a <10% false-positive gate: if the agent cries wolf, the product has failed, and the 14-day trial exists precisely so you can verify the signal-to-noise on your own app before paying.
What stacks does it work with?
Any web app. The agent tests through the browser like a user does — it doesn't read your framework, it reads your UI. Next.js, Rails, Django, Laravel, plain HTML, no-code exports: if it renders in a browser, QAForge can discover it, test it, and watch it. CI integration ships first for GitHub (App + Actions); the daily prod smoke needs nothing but your URL.
Why should I trust an early-stage tool with my QA?
Because we are user #1. QAForge is built by the team running 19 live MVPs — the agent dogfoods against our own production apps every day, and every bug it catches in our portfolio is a bug-class it learns to catch in yours. We have the exact problem you have, at 19x the surface. And your suite is plain Playwright in your repo: if we disappear tomorrow, you keep every test.
Reserve a spot in the founder pilot
I'm opening a small founder pilot for indie hackers with a web app in production. Reserve a spot to get the agent pointed at your app early — first flows discovered, first regressions caught — and to shape what gets built.