Introduction to Autify: No-Code Test Automation for Web and Mobile

QA teams are constantly caught between two realities: testing backlogs grow faster than automation engineers can write scripts, and every UI change breaks half the test suite overnight. Autify was built to address exactly these pain points — a no-code AI-powered test automation platform that lets anyone on the team record, run, and maintain tests without writing a single line of code.

This introduction covers what Autify is, how its core recording model works, what platforms it supports, and how the pricing is structured so you can evaluate whether it fits your team.

What Is Autify?

Autify is a cloud-based test automation platform founded in Japan in 2019. Its core design principle is accessibility: QA engineers, product managers, and developers should all be able to create and run automated tests without needing programming knowledge or Selenium expertise.

The platform has two main products:

• Autify Web — browser-based UI test automation using a Chrome extension for recording
• Autify Mobile — native iOS and Android test automation using a desktop recorder app

Both products share the same execution infrastructure: tests run in Autify's cloud on real browsers and real devices, and results are accessible through a unified dashboard.

What sets Autify apart from older no-code tools is its AI layer. Rather than relying on brittle XPath or CSS selectors baked in at recording time, Autify uses a machine-learning model to identify elements by their visual appearance, surrounding context, and DOM structure. When your UI changes, the AI attempts to find the element in its new location without requiring you to re-record the test.

How No-Code Test Recording Works

The recording workflow for Autify Web takes roughly five minutes to set up and use:

1. Install the Chrome extension — available from the Chrome Web Store, no admin privileges required
2. Open Autify and start a new test scenario — give it a name and click "Start recording"
3. Interact with your application — every click, input, navigation, and scroll is captured
4. Stop recording — Autify converts your interactions into a structured list of test steps
5. Add assertions — after recording, you insert checkpoints like "text on page equals X" or "element is visible"
6. Run the test — choose a browser/OS combination and execute on Autify's cloud

Each step in the generated scenario is displayed as a plain-English description alongside a screenshot of the captured state. Non-technical team members can read these steps, understand what the test does, and spot problems without interpreting code.

What Gets Recorded

Autify captures a comprehensive set of interactions:

Element Detection Under the Hood

When you click an element during recording, Autify does not just store its XPath. It captures multiple signals simultaneously: the element's visual appearance (rendered screenshot), its position relative to neighboring elements, its accessible text, its tag and attribute set, and its position in the DOM hierarchy. These signals are combined into an element fingerprint that the AI uses for matching at runtime.

This multi-signal approach is what makes Autify more resilient than raw-selector tools. A button that moves from the top-right to the bottom-left of a card will still be found because its text label and visual appearance remain the same.

Supported Platforms

Autify Web

Autify Web supports all major browsers across desktop operating systems:

Operating systems available for cloud execution: Windows 10, Windows 11, macOS Monterey, macOS Ventura, macOS Sonoma.

Autify Mobile

Autify Mobile supports iOS and Android:

• iOS: iPhone and iPad, iOS 14 and above
• Android: Physical device testing, Android 9 and above

Mobile tests are recorded using a desktop companion app (Mac or Windows) connected to a device via USB during the recording phase. Test execution runs on Autify's cloud device farm.

Integrations

Autify connects to the tools most engineering teams already use:

• CI/CD: GitHub Actions, CircleCI, Jenkins, GitLab CI, Bitbucket Pipelines
• Issue tracking: Jira (auto-creates tickets on test failure)
• Chat: Slack (posts pass/fail notifications to channels)
• API: REST API for triggering test runs and fetching results programmatically

A typical CI integration uses Autify's CLI tool:

# Install Autify CLI
npm install -g @autifyhq/autify-cli

# Authenticate
autify login

# Trigger a test plan execution
autify web test run <plan-id> --wait --timeout 600

# Exit code is 0 on pass, non-zero on failure

This makes it straightforward to include Autify test runs as a gate in a GitHub Actions workflow or Jenkins pipeline without managing browser infrastructure yourself.

Pricing Model

Autify uses a subscription model based on the number of test executions and seats rather than charging per test or per element. Pricing is not publicly listed in detail — you need to contact sales — but the general structure is:

Mobile testing is sold separately from Web testing. If you need both, expect to negotiate a combined package.

One notable aspect of Autify's pricing philosophy: they bill on test plan runs, not on the number of individual test steps or the number of scenarios inside a plan. A single plan execution that runs 200 scenarios counts as one run. This benefits teams that batch large regression suites into a single plan.

Who Should Consider Autify

Autify fits well for teams with these characteristics:

Good fit:

• QA team includes non-developers who need to own test creation
• Application has a stable-ish UI that changes in controlled releases, not continuously
• Team is spending significant time maintaining Selenium or Cypress tests after UI updates
• No current automation coverage and want to bootstrap quickly

Less ideal fit:

• Application has heavy client-side logic requiring custom assertions (Autify's assertion library is limited compared to code-based frameworks)
• Team needs to test at the API layer or needs deep data mocking
• Budget is tight — Autify is priced for teams with budget, not individual developers
• Need to test complex animation sequences or canvas-rendered interfaces

Getting Started

The fastest path to evaluating Autify is through their free trial, which provides a limited number of test executions and access to the full Web recording feature. You do not need to provide payment information to start.

Steps for a first evaluation:

1. Sign up at autify.com and install the Chrome extension
2. Record a 5-10 step test on your staging environment
3. Add two or three assertions to validate key page state
4. Run the test on Chrome/Windows in Autify's cloud
5. Trigger a minor UI change in staging and re-run — observe whether the AI self-heals the test

That end-to-end loop, from recording to validating AI resilience, takes about 30 minutes and gives you a realistic sense of whether Autify's auto-update model will hold up for your specific application.

Summary

Autify is a practical choice for QA teams that want to reduce their dependency on automation engineering skills without sacrificing coverage. Its no-code recording, cloud execution, and AI-based element detection address the three biggest pain points of traditional UI automation: skill barrier, infrastructure cost, and maintenance burden.

The platform is not a silver bullet — complex custom assertions still require scripting elsewhere in your pipeline — but for standard UI regression coverage, Autify delivers a faster path from zero to running tests than any code-first framework.