Test framework or hosted QA? An honest guide

A test framework is the better choice when you want tests in your repository, predictable scripted execution, and someone on the team owns the suite. Hosted QA fits when you need important user journeys checked but nobody has time to maintain test code.

We build Monito, so our interest is clear. Our promise is QA you never write or maintain: describe the expected behavior in plain English, and Monito handles browser execution and evidence. That removes test-code upkeep. It also introduces a cost and an AI agent on every run. Both sides belong in this decision.

Start with who will own the tests

Before choosing a tool, name the person who will investigate a failed check next Tuesday. Will they inspect test code, update fixtures, and review changes to assertions? Or do they need a report that explains what happened in the app?

Neither answer says anything about the quality of your engineering. A small team with a stable product and a committed suite owner can get a lot from scripted tests. Another team may ship interface changes every week and keep postponing QA because nobody owns it.

The useful comparison is the work you will keep doing after the first test passes. Generating a test once and keeping it useful are separate jobs.

Tests as code include AI-assisted options

Playwright and its own test agents work with test code. The healer's instructions include editing selectors, assertions, and expected values. That assistance can be useful, but review the changes as you would application code. A changed expectation needs to match a product decision.

TesterArmy's e2e is a free, open-source framework with TypeScript tests that combine ordinary locators and assertions with agent steps. Its cache documentation describes replaying verified actions without model calls, while agent.assert, agent.waitFor, and agent.extract still run live. Free software does not mean every AI-assisted test has zero model cost.

Exported code belongs in this category too. Octomind generated exportable Playwright tests. If you already have those files, keeping them in your own CI is a valid starting point. Our Octomind migration guide starts there.

When a framework is the better choice

You want tests in your repo, reviewed like code. The expected behavior sits beside the implementation. Reviewers can see whether a pull request changes an assertion, removes coverage, or adds a new case. Your team controls those decisions through its existing development process.

You need deterministic replays at zero marginal test or model cost per run. A conventional scripted test repeats defined actions and assertions without asking a model to decide each step. With runner capacity already available, another execution needs no per-run test-service purchase. Browser compute and paid CI minutes can still cost money. Deterministic instructions also do not make an unstable environment or changing test data deterministic.

You have someone who owns the suite. This is the condition that makes the other benefits last. Someone must maintain test data, investigate failures, and decide whether a changed screen reflects a bug or an intentional redesign.

If those three statements describe your team, choose the framework. Frequent runs of stable, precise checks are a strong reason to keep code. There is no benefit in replacing a suite that already gives your team useful answers at a cost you accept.

When Monito fits

Monito fits when nobody owns QA and the alternative is leaving important flows unchecked. You write what should happen in plain English. An AI agent runs that scenario in a real browser. You do not maintain a file of selectors for each journey.

That is useful when the UI changes weekly and selector repairs keep consuming the time set aside for testing. You still define the product requirement. If the intended behavior changes, update the scenario. Removing test code does not remove the need to say what a correct result looks like.

For example, describe a signup form that must reject a malformed email and explain the error. That gives the agent an observable outcome. “Test signup” leaves too much unspecified. The guide to writing good tests covers this distinction.

Each run records video, screenshots, console output, and network logs. The result gives you a verdict with evidence and a plain-English reason, so you can start with what happened instead of decoding a stack trace. Run evidence has retention limits.

When a run does not pass, the cause can be “App bug,” “Test needs updating,” “Site unreachable or access blocked,” or “Monito's error — not charged.” If the cause is unknown, the report says so. Read that classification before treating a failed check as proof that your app is broken.

What hosted QA costs you

Monito runs an AI agent every time. Budget tens of seconds to minutes for a check, rather than expecting an immediate result. Each test run costs credits, including one that finds a bug in your application. If Monito causes the error, the credits held for that run are returned.

The pricing page lists one credit per test run. Pro includes 700 credits for $79 per month; Team includes 1,800 for $199 per month. Check that page when choosing a plan and deciding how often to run your tests.

An evidence-backed verdict is also not a byte-for-byte replay. The agent observes the current interface and decides how to carry out the scenario. Evidence lets you inspect that decision; it does not turn the agent into a fixed script or guarantee that every judgment is right.

If you need many repetitions of an exact procedure, those costs and that distinction favor a framework. If maintaining the procedure is what keeps your team from testing, hosted execution may be worth paying for.

Let coding agents check their work

After installing the CLI from @monitodev/cli and signing in with monito auth login, a coding agent can use the documented one-command check:

monito check https://preview.example.com/signup "The form rejects a malformed email" --json

Use a deployed URL that Monito can reach. The command waits for a compact verdict and a report link. The agent guide explains how to resume waiting if the command times out, without starting another run.

For an MCP client, connect the Monito MCP server. The documented local command is:

npx -y @monitodev/cli mcp

The coding agent can request a check, read the evidence, make a fix, and check again. Each new run still uses credits. This is another way to reach the same hosted QA service.

A short decision checklist

• Want tests in your repo and reviewed in pull requests? Choose a framework.
• Need repeated scripted execution without per-run model or test-service fees? Choose a framework.
• Have a person who owns the suite? A framework is a strong fit.
• Have no QA owner and keep putting off selector repairs? Try Monito on one important journey.
• Need a verdict, evidence, and a plain-English reason from one command? Try a hosted check.
• Need both? Keep the scripted checks that work and use hosted QA where maintenance prevents coverage.