Agentic testing for your website, automated by Mira
Agentic testing means an AI agent tests your site the way a QA engineer would on a first pass — it explores the live website, plans what matters, acts in a real browser, and reasons about what it finds. No test scripts to write, no selectors to maintain, no recorder to babysit.
Mira is the agentic testing platform for that job: point it at your URL and it runs real user journeys after every change, then reports verified findings with evidence — screenshots, console logs, and traces.
What agentic testing is — and isn't
Most test automation runs steps a human wrote or recorded. Record-replay tools capture a session once and replay it forever; scripted suites lock journeys into selectors that break the moment markup changes. Agentic testing works differently: the agent decides what to test from the site itself, on every run.
Scripted and record-replay suites need selectors and assertions that rot as the site evolves. Agentic testing adapts to the site as it is today.
The agent reads navigation, links, and content, picks representative pages and key journeys, then runs them — including flows nobody remembered to script.
A scripted suite ends with pass or fail. An agent ends with prioritized findings, each carrying the screenshots, console logs, and traces that produced it.
Agentic testing samples representative pages and key journeys rather than exhaustively covering every page or anything behind authentication — and findings are model-assisted, so a clean run is a strong signal, not a certification.
How Mira acts, observes, and reasons on your site
After every change, Mira runs the loop a careful human tester would run — automatically:
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Act
The agent performs real user steps in a real browser — clicking, typing, submitting forms, scrolling through checkout, signup, and search journeys.
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Observe
It watches what actually happened: page state, console errors, network responses, missing elements, broken links, and layout breaks at desktop and mobile widths.
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Reason
It decides what the observations mean, adapts its plan when something unexpected happens, and reports what needs fixing with evidence you can verify.
That's the short version. The full loop — discover, plan, act, observe, adapt, report — is covered in depth in the agentic end-to-end testing guide, and in practice after every deploy this is the automated QA safety net on top of testing your website after deploy.
An AI agent testing platform, not a script runner
Mira is a platform built around the agent, so agentic testing fits into your workflow instead of replacing it:
Discovery, planning, and reasoning run on Mira's own AI infrastructure — EU-hosted, with no model training on customer data.
Trigger runs on deploy or on a schedule — the agent re-reasons about the site on each run instead of replaying the same recorded pass.
Screenshots, console logs, and traces attach to every finding, and reports are prioritized so you fix the highest-impact problems first.
European privacy by design: EU product-data processing, local AI operation, and GDPR-compliant infrastructure for the sites you depend on.
Agentic testing platform vs a leading low-code suite
"Agentic testing" shows up across tool categories. The difference is where the intelligence lives: in an agent that owns the testing, or in a low-code platform where an agent only assists the author. Two examples of each:
| Feature | Mabl | Mira Checks |
|---|---|---|
| Approach | Low-code platform with a Trainer, recorded and configurable steps, and agent-assisted test creation | Autonomous agentic testing: the agent discovers, plans, and runs journeys from a website URL |
| Test creation | Tests are authored in the Trainer — recorded, then configured — while agents can help create them | No authoring step: Mira maps the website and proposes coverage without required test scripts |
| Execution and maintenance | Configurable platform tests with automated maintenance features and per-seat enterprise tiers | Self-serve runs after every change; no customer-maintained test-code repository |
| Target use case | QA and engineering teams testing applications across delivery workflows | Website, marketing, and CMS teams that want autonomous validation after every change |
| Published data posture | mabl documents customer-data storage in AWS us-east-1 and publishes security and privacy controls | EU product-data processing and Mira-operated AI; no model training on customer data. Privacy details |
Reviewed 30 September 2026. Primary sources: mabl browser-test documentation and mabl security documentation. Verify current terms directly with the vendor. For the full comparison, see the Mabl alternative page.
Frequently asked questions
- What is agentic testing?
- Agentic testing is automated website QA driven by an AI testing agent. Instead of running a recorded or scripted suite, an agent explores the live site, plans what to verify, performs actions, observes what happened, reasons about the results, and returns verified bug reports with evidence. Mira runs this for your website after every change — no test scripts to write or maintain.
- How is agentic testing different from scripted or record-replay automation?
- Scripted and record-replay tools run steps a human wrote or recorded, against selectors and assertions that break when the page changes. Agentic testing decides what to test from the site itself: the agent discovers journeys, adapts when something unexpected happens, and checks quality signals most recorded suites never look at — broken links, slow pages, layout breaks, dead forms, and accessibility issues.
- Is Mira an AI agent testing platform?
- Yes. Mira is a self-serve agentic testing platform for websites. It combines an AI agent that discovers and runs user journeys with platform infrastructure that schedules repeated runs, collects screenshots and traces, and reports prioritized issues. There is no recorder, test code, or suite to maintain.
- Does agentic testing replace my existing test suite?
- Agentic testing samples representative pages and key journeys rather than exhaustively covering every internal flow or anything behind authentication, so it complements scripted suites instead of replacing them. It is strongest at finding what nobody scripted: regressions in discovered journeys, broken links, and layout or form failures after every change.
- If the agent finds no issues, is my website bug-free?
- No. An agentic testing run samples representative pages and key journeys, so a clean report does not guarantee a website is bug-free, secure, accessible, or release-safe. Findings are also model-assisted and, like any AI output, can be wrong. Treat the report as strong evidence to act on — not a certification.
Let an AI agent test your website after every change
Mira is live. Point it at your website and get agentic testing with verified findings in minutes — no test scripts to write.