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How to Test a Web App

functional-testingfix-sessionregressioncross-browserqaverificationpost-build
~3381 words · you're seeing about a third of it below

This picks up exactly where How to Code a Web App leaves off — a service running locally (and on its early, unindexed preview URL), a login that works, screens that render. Running is not the same claim as correct. This lesson covers proving it: a functional test pass, a fix-up loop for whatever that pass turns up, and verification across the viewports and browsers a real visitor will actually use. It stops at "verified" — the next lesson in this series covers shipping it to the real, discoverable domain. If nothing runs yet, go get a local build first; there is nothing to test against here.

TL;DR

Testing a web app is not one phase, it's a rule applied over and over: if a check has a machine-readable oracle, the agent owns it — the human is only for what needs their eyes, their hands, their accounts, or their authority. Most of what "feels like" a human QA task on a web app — does the page load, did the record save, does the layout overflow at this width, did the right font apply — is actually fetchable, queryable, measurable, or drivable by the agent itself, because a browser is something an agent can automate directly. That split is the whole argument of this lesson. On top of it: a fix-up session is a loop, not a single edit — reproduce, diagnose, fix, re-verify, then check whether the same shape of bug exists anywhere else, because it usually does. And a screenshot only proves rough layout; it does not prove an exact value — colors, fonts, spacing, and viewport behavior need to be asserted programmatically, not eyeballed.

The three gates, not one "testing phase"

Collapsing testing into a single step loses the moments where different classes of bug actually surface. Split it into three named gates instead:

Gate What it catches Who runs it
Dev-loop check Build/type errors, obvious breakage, on every change Agent, automatically
Pre-ship functional pass Real user flows, negative paths, cross-viewport, cross-browser Agent drives it, human confirms a short batched list
Post-deploy verification Bugs that only exist in the deployed environment Agent, read-only, against the real thing

[Verified against an existing standard] A separate, older checklist this project maintains for building mobile apps structures testing the same way — as named gates with a stated pass criterion each, not one undifferentiated "test the app" step, and its pre-release gate is a fixed scenario list that starts with "the golden path, from zero, as a brand-new user." Keep that ordering here: a first-time signup-to-first-action walkthrough is scenario one, before anything else gets tested, because the worst defects live on the path every single visitor takes.

The one deliberate deviation from that mobile checklist: there, nearly every pre-release scenario is tagged [human], because on a phone build only a human can install and tap through it. On the web, the agent can drive a real browser directly — click, type, submit, resize, read computed styles, inspect the console. So the split shifts hard toward the agent. That shift is this lesson's whole point: don't default to "ask the human to check it" just because that's the native-app habit. Ask whether the check has a machine-readable answer first.

What the agent owns, and what it hands to the human

The agent does these itself, no human involved:

The agent asks the human — batched into one message, numbered, with an expected result stated per step, never "have a look and tell me":

  1. A real inbox. Did a given email arrive, in the inbox or spam, does it render, does its link work when clicked from their actual mail client. The agent cannot see someone's mailbox.
  2. A real device pass. Their phone, their browser, their network — a short, numbered script (4-6 steps) with an expected outcome per step.
  3. Anything gated behind credentials the agent doesn't hold — a payment sandbox, a third-party console.
  4. Perceptual or product judgment — is this copy right, is this the right number of items on the page. The human is the oracle for taste. Never for correctness.
  5. An explicit go/no-go on anything irreversible — sending a real broadcast, an account-affecting change, anything that can't be quietly undone.

The agent does not ask the human to check: whether pages load, whether redirects and canonical tags are correct (fetchable); whether a record actually changed state (queryable); whether a layout overflows at a given width (measurable); whether the intended font, size, or color actually applied (readable from computed style); whether an error message is correct (drivable); whether yesterday's fix broke something else (re-runnable). Every one of those has a machine-readable answer. Asking a human to eyeball something the agent could have measured wastes their time and adds a slower, less precise oracle where a faster, exact one was available.

The functional pass itself

A concrete checklist, in the order that catches the worst defects earliest:

  1. Golden path, from zero. A brand-new user's full first session — signup, first meaningful action, first result seen. This is scenario one, not an afterthought, because it's the one path every real visitor takes.
  2. Environment-divergent branches, explicitly enumerated. Some code only runs correctly in the deployed environment, never locally: a database only reachable from the platform's private network, a secure-cookie branch that never fires over local plain HTTP, an absolute URL that resolves to a container's internal hostname instead of the public one. List these per project. They are untestable where you built them — the functional pass has to run at least once against the deployed preview URL, not only against localhost, or an entire branch of the app goes unverified until a real user hits it.
  3. Every form, every boundary. Valid input, missing required fields, boundary values, hostile input (script tags, oversized payloads, wrong types). Assert the message shown, not just the status code.
  4. Auth and ownership negatives. Logged out, wrong user, someone else's ID, an expired or garbage token — each should fail the same clean way, not with a generic 500 or a silent no-op.
  5. Every outbound integration, hit for real. A real email to a real inbox, a real notification, a real webhook call — never mocked at this stage. A newsletter script that logs "sent" and writes a database row while silently running in a no-op dev mode because one environment variable was missing is a real category of bug, and it only shows up if something checks the actual outbound side, not the code path's own self-report.
  6. Cleanup, verified. Delete every test account and record created, and confirm the deletion — not just that a delete call was issued.
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