How Pie Works

Wondering How Pie Tests Your App...?

Vision-based AI agents. We've stripped away the scripting, the selectors, and the maintenance. Here is exactly how Pie delivers comprehensive test coverage in 30 minutes.

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0 %
Coverage in 30 minutes
ZERO
Hours maintenance. Ever.
0s
Parallel test instances
How Pie Tests Without Breaking

Push. Probe. Pass.

Three phases. Comprehensive test coverage. Zero maintenance forever.

1
Phase 1

Push

One Input. Zero Setup.

There is no integration project. No SDK. No source code. No integration meetings. The lift required from your engineering team is exactly zero.

"Setup took 5 minutes. First test running in 2 minutes."

Tilt
Engineering Lead
Tilt

Web

Paste the URL.

Mobile

Drop the build file.

Extension

Upload it.

Gated app: add the credentials. That's it.

2
Phase 2

Probe

We don't run scripts. We deploy a squad.

Once you push, Probe begins. Discovery, test generation, and execution run at the same time. A coordinated exploration maps and validates your entire application.

"280 tests generated in 2 hours. Writing those manually? Weeks."

Snoball
QA Engineer
Snoball
1

Autonomous Discovery

Agents launch your app and explore visually: every screen, every button, every workflow. They don't scan for CSS selectors or XPaths. They see your app the way humans do. A "Checkout" button looks like a checkout button, even if you rename the div ID or redesign the layout. When your UI changes, Pie adapts automatically.

Visual recognition Auto-adapts to changes No selectors
2

Feature Mapping & Persona Adoption

The AI doesn't click randomly. It maps your application and auto-groups functionality into Key Features (e.g., "Flight Search," "Payment Flow," "User Settings").

For each feature, agents adopt a User Persona to determine intent: "What is a user trying to achieve on this screen?" That question drives autonomous test case generation: comprehensive tests created instantly, covering both happy paths and edge cases.

Auto-grouped features User personas Edge case coverage
3

The Pie Farm: Massively Parallel Execution

Speed is non-negotiable. We don't run tests one by one. We spin up the Pie Farm, deploying hundreds of AI agents to test your application simultaneously. Each agent tests a different workflow, coordinating like a QA team working in perfect sync.

What used to be an overnight regression suite is wrapped up in 30 minutes.

Everything runs in parallel

Discovery, generation, execution, and analysis happen at the same time, not one after another.

8-10 hrs
sequential suites
30 min
with Pie
3
Phase 3

Pass

Signal, not noise.

This is what you actually need to know. We cut through the digital exhaust and deliver a razor-sharp briefing on exactly what broke and why.

"We used to get 50 tickets for the same bug. Pie gave us one issue with the root cause."

Fi
VP Engineering
Fi

Deduplicated Issues

If a broken API causes 50 checkout tests to fail, you don't need 50 notifications. Pie intelligently clusters these failures into a single Issue, identifying the common root cause so your team isn't chasing the same bug across ten different tickets.

50
Notifications
1
Issue

"Findings" vs. "Issues"

Scripts only catch what you tell them to check. Pie's visual agents catch the "unknown unknowns." We flag Findings: anomalies like price discrepancies ($10.49 vs $10.18), broken layouts, or unexpected pop-ups that rigid assertions would miss completely.

Every issue flagged by AI gets validated by real humans on our QA team. You get real bugs, not noise.

The Perfect Bug Report

Every reported issue is self-contained and ready for Jira. Your team doesn't waste time triaging, reproducing, or decoding cryptic error logs. They fix bugs. That's it.

Reproduction Steps: Precise, step-by-step instructions to reproduce the bug manually.
Visual Proof: A frame-by-frame screenshot sequence showing exactly what the agent saw.
Logic Gap: A clear breakdown of "Expected Behavior" vs. "Actual Behavior."

See the 3P Framework run on your app

Watch Pie test your actual app. A Readiness Score in 30 minutes.

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The Difference

Vision-Based Testing: Why It Actually Works

Selector-Based
// Fragile selector
By.id("submit-btn-v3")
Finds elements by CSS IDs that break
When UI changes, tests break
Each test takes 2-4 hours to create
Requires 20-40 hours of monthly maintenance
Full regression takes 8-10 hours
Visual bugs are missed entirely
Tests focus on DOM structure, not UX
Vision-Based (Pie)
// Human-like instruction
"Click the submit button"
Finds elements by what users see
When UI changes, tests adapt automatically
Tests are created in minutes
Requires ZERO hours of monthly maintenance
Full regression in 30 min - 2 hours
Visual bugs are caught automatically
Tests focus on user experience

FAQ

Did we miss a question?
Email us directly →

Is my data safe?
We never touch your source code. Our agents interact only with your UI, running in isolated, ephemeral environments that are destroyed immediately after use. We are SOC 2 compliant and encrypt all data.
What happens when my UI changes? Do I have to rewrite tests?
No. Because we rely on visual context rather than code selectors, your tests survive UI updates. If you rename a button or move a menu, Pie understands the context and adapts automatically.
I'm skeptical. How can you test my specific business logic without me writing a script?
For unique or complex workflows (like "Apply a specific promo code and pay with a gift card"), you use Pie Canvas. You write the instruction in plain English, and our agent translates that intent into a rigorous, repeatable test case instantly.
Does "Autonomous" mean I lose control?
Not at all. You train the system. If Pie flags something you don't care about, you dismiss it. The AI learns from this feedback and won't flag it again. You stay in the driver's seat; we just provide the navigation.
How does vision-based testing actually work?
Pie uses computer vision to identify UI elements the way users do—by what they look like and what they do. Not by fragile CSS selectors. When your designer moves a button or changes styling, our agents adapt automatically because the button still looks like a submit button.
What's the difference between Pie and AI code generators that write Selenium scripts?
Copilot writes Selenium scripts faster. Cool. Those scripts still rely on selectors that break when your UI changes. Pie deploys autonomous agents that use vision to navigate your app—adapting to changes instead of breaking.
How does Pie handle login and complex workflows?
Agents understand context and maintain session state. They handle authentication, multi-step forms, role-based permissions, dynamic content—all automatically. Provide credentials once. Pie manages login across every test run.
Can I watch tests run in real-time?
Yes. Watch agents navigate your app live. See what they see. Pause mid-execution. Get detailed reasoning for every action. Full visibility into the testing process.
What can Pie test?
Web apps, mobile apps (iOS/Android), and browser extensions. We're tech-agnostic—if a human can interact with it, Pie can test it. React, Vue, Flutter, native Swift, legacy jQuery, doesn't matter.
How does Pie ensure test results are accurate?
Real humans on our QA team review every issue before it reaches you. They filter false positives, validate real bugs, and ensure you only see actionable problems. AI executes at scale. Humans validate accuracy.

All It Takes Is
One Push.

Drop your URL or upload your build. Watch Pie autonomously explore, test, and validate your entire application. Get comprehensive coverage and actionable bug reports in 30 minutes.

No sales pitch. No feature demo. Just results.

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No credit card required SOC 2 Type 2 certified Works with any stack