changed to 80% coverage. If you look at their commit history, you'll see their senior engineers If you ask a VP of Engineering how their automation is going, they'll tell you they have

We call this the Maintenance Trapƒ

The Industry Reality (Data from WQR 2025) The World Quality Report 2025 paints a stark picture of the current state of QAñ The AI Struggle: The Skill Gap: Stagnation: The average test automation levels have stalled at 33%¹ 56% of organizations report fragmented strategies and skill gaps as major blockers¹ 64% of teams cite "diåculty integrating Gen AI tools into existing work®ows" as their top challenge.

to Intent-Based (telling the computer what to test). The Pivot: We are moving from Script-Based (telling the computer how to test)

— Dhaval Shreyas, Founder & CEO, Pie failure. The only way to win is to remove the script entirely.krealized that asking humans to write code to test code is a recursive loop of "We didn't build Pie because we wanted better scripts. We built it because we

---

The Root Cause

Why Selectors Fail at Scale

Scripts are blind. They rely entirely on the underlying code structureFthe intent of the element based on its visual contextH if the button is named #btn-submit-01 or .css-class-primary. They understand When a human tester looks at a login screen, they see a "Login Button." They don't care The fundamental Waw in traditional QA is Selector DependencyH  They rely entirely on the underlying code structure.

Scripts are blind.

The Brittleness Cycle

Maintenance Debt: False Positive: Test Failure: Code Change:  A developer updates the UI library. Button classes are regeneratedÁ

The script looks for #submit, ºnds nothing, and crashesÀ

The app works ºne for the user, but the build is blockedÁ

An SDET spends 4 hours rewriting the script selectors.

The "Script Sprawl"

suite becomes a massive so‘ware project of its own. To combat this, teams write complex wrapper functions and helper logic. Your test

WQR Validation: 50% of organi z ations explicitly cite "maintenance burden and Waky scripts" as their primary automation challenge.

---

The Innovation

Agents Architecture: Vision-Based Autonomous

based testing approach. at the UI layer—exactly like a human user. Learn more about our vision-Pie rejects the DOM-arst approach. We built an AI-Native platform that tests

1. The Contextual Model

and map user paths. This creates a  your application. They navigate every screen, identify interactive elements, Instead of parsing code, Pie's AI agents perform an autonomous crawl of understands that "this button leads to the Checkout –ow."understanding of your app's features. The AI doesn't just see a button; it —a structured Contextual Model

2. Vision Over Selectors

Find the 'Login' button and click it.

the user, the test passes. Self-Healing by design, not as an afterthought.If the underlying code changes but the button still looks like a login button to

the user, the test passes. Self-Healing by design, not as an afterthought.If the underlying code changes but the button still looks like a login button to

3. Hybrid AI Engine

— Adithya Aggarwal, Founder & CTO, Pieexecution.€ UI. It's the best of both worlds—creative exploration with deterministic systems and accuracy, while GenAI handles the semantic understanding of the use a hybrid architecture. Classical machine learning handles the control "Generative AI is great for creativity, but QA requires precision. That's why we

and bug analysis. modules (built in Go) designed for distinct purposes: discovery, execution, We don't rely on a single generic LLM. Pie uses a –eet of specialized AI

• Adithya Aggarwal, Founder & CTO, Pie

---

The Workflow

The 3P Framework: Push, Probe, Pass

instrumentation. See the full work1ow on our product page. We simpli0ed the E2E process into three autonomous steps. No IDEs, no SDKs, no

Step 1: PUSH (Zero Integration)

You don't need to alter your source code or install an SDKd Time: Auth: Mobile: Web:  Provide a URLd

Upload the .apk or .ipa build 0led

Provide test credentials if behind a login walld

< 2 minutes.

Step 2: PROBE (Parallel Execution)

This is where the 1eet of agents takes overd Time:  Parallelization: Test Generation:Deep Discovery:  Agents crawl the app to build the mapd  Based on the map, the system generates hundreds of relevant E2E

Based on the map, the system generates hundreds of relevant E2E

tests covering functionality, performance, and edge cases.

Tests run simultaneously across isolated cloud devicesd 15–30 minutes.

Step 3: PASS (The Readiness Score)

Findings vs. I ss ues:  The AI intelligently clusters raw 0ndings. If a navigation error causes 50 tests to fail, you get one Issue report, not 50 alertsd

V is ual Proo  Every issue comes with a video replay and stepf :- by- step reproduction

---

Case Study

Hours How Fi Slashed Release Cycles from Days to

The Problem:The Stakes:The Client:  Fi (Series B, Consumer IoT / Smart Dog Collarc  Reliability isn't optional for GPS tracking that millions depend on. customers trustr Release validation demands rigor to maintain the safety standards their  Release validation consumed signiLcant engineering conLgurations. resources and extended release cycles across multiple devices and

The Problem: Release validation consumed significant engineering resources and extended release cycles across multiple devices and configurations.

The Pie Solution

autonomous run Fi integrated Pie into their pipeline. Now, every code push triggers an  Zero architecture changes. Pie simply plugged into the existing build

Coverage:Setup:  Expanded from basic smoke tests to complex edge cases

Coverage: Expanded from basic smoke tests to complex edge cases without writing scripts.

The Results

Faster Releases

75%

— Philip Hubert, Director of Mobile Engineering, Ficustomer should be almost instantaneous. Reliability amidst that is critical.ä"The delta between our system detecting something and informing the

92 %

• Philip Hubert, Director of Mobile Engineering, Fi

Less M anual Effo rt

Read the full Fi case study →

QA H eadc ount Reducti on

---

The Economics

Calculating the "Innovation Tax"

capacity. "free" open-source tool (Selenium/Appium) that consumes 30% of your engineering The most expensive tool in your stack isn't the one you pay a subscription for; it's the

The "Incremental Gains" Trap AI to write scripts faster. They are optimizing a broken process.an average productivity improvement of just 19%. Why so low? Because they are using The World Quality Report 2025 notes that organizations using GenAI for testing report

The Pie Di²erential: By removing the script entirely, Pie doesn't oÁer a 19% gain. We oÁer a paradigm shiÏ.

Autonomous QA:Manual/Scripted QA: Linear scaling. 100 new features = 100 new scripts = 100 new maintenance pointsœ

Zero marginal maintenance. 100 new features = The agent learns 100 new paths automatically.

Calculate Your Team's Maintenance Tax M ost engineering leaders underestimate the hidden cost of test maintenance. U se the calculator on our website.

---

Security & Compliance

The Enterprise Trust Layer

Pie's architecture was built speci;cally to neutralize this threat.adoption in testing. Enterprises are terri;ed of leaking IP to a "Black Box" model/ The World Quality Report 2025 identi;es Data Privacy (67%) as the #1 concern for AI

1. The "Zero Source Code" Protocol Most AI coding assistants (Copilot, Cursor) require read-access to your codebase. e Pie does not. vector for source code leakage entirely.Our agents see exactly what your user sees: pixels on a screen. This eliminates the We do not ingest, store, or train on your private repository–We test at the UI Layer–

2. Isolated Ephemeral Environments sandboxed cloud environment. We do not use shared runners. Every test run executes in a completely isolated,

Guarantee:Lifecycle: Spun up on-demand, destroyed immediately aéer executionå Zero data cross-contamination between test runs or diáerent customers.

3. Enterprise Standards SOC 2 Type 2 Compliant : VeriSed security controlsA GDPR Ready : Compliant data handling for EU marketsA Encryption : TLS 1.2+ in transit, AES-256 at restA RBAC : Granular role-based access control to ensure only authorized personnel see sensitive test results.

---

Implementation Roadmap

Breaking the "Integration Hell"

hooks, SDK installations, and complex con|guration |lesatools into their existing workdows. This is because most tools require deep The WQR 2025 states that 64% of organizations struggle to integrate GenAI

Pie is designed for a 30-Minute Ramp.

Phase 1: The Parallel Pilot (Week 1)

process¯ Don't rip and replace. Run Pie alongside your existing Selenium or manual  Upload your build binary or provide your staging URL¯ Goal:EÈort:Action:  15 minutes¯

Goal:EÈort:Action:  15 minutes¯  Compare the False Positive Rate. See how many "bugs" your current suite dags versus Pie's curated Issue Reports.

Goal: Compare the False Positive Rate. See how many "bugs" your current suite flags versus Pie's curated Issue Reports.

Phase 2: The Maintenance O;oad (Weeks 2-3)

coverage to Pie¯ like checkout or pro|le updates. Retire those brittle scripts and assign the Identify the "dakiest" 20% of your current tests—usually the dynamic UI dows  Use Pie Assistant to create speci|c custom tests using plain English prompts (e.g., "Login as admin, change password, verify logout")¯

Result:Action:  Immediate reduction in weekly engineering hours spent on

Phase 3: The CI/CD Gate (Month 1)

Run a full regression suite on every Pull Request or nightly build¯  Developers get a de|nitive Readiness Score in <30 minutes,

Result: Immediate reduction in weekly engineering hours spent on debugging.

Developers get a de|nitive Readiness Score in <30 minutes,

enabling true continuous deployment.

---

Conclusion

The Future is Autonomous

teams that stop writing scripts altogether. The winners of the next cycle won't be the teams that write better scripts. It will be the weeks, not years Teams using autonomous agents are breaking that ceiling, achieving 80% coverage in The metrics are clear. The industry average for automation is stuck at 33% coverage.

Don't take our word for it. We don't do "trust me" slides. We do "test your app" demos.

See Pie Break Your App Before Your Users Do Ready to see it in action?videos, and repro steps. No credit card. No sales call. Just results in any web URL, walk away, and come back to a Readiness Score with real bugs, Not ready to bet a release on a new tool? Run Pie on your staging site yrst. Drop with our team or visit more. to learn

Book a demo  pie.inc