Adithya Aggarwal
Co-founder & CTO
Eight years building search and delivery systems at Amazon. The kind of scale where flaky tests block billion-dollar releases. Now CTO at Pie, building AI agents that adapt when your UI changes.
Writes about:
Articles by Adithya
How to Test App Permissions on iOS and Android (Camera, Location, Notifications)
An iOS permission prompt appears exactly once, and that single rule is why most teams never automate permission testing. Here is how to make it reliable in CI.
Best Integration Testing Software in 2026 (Tested by Boundary)
Most integration suites mock the exact boundary that breaks. Compare the best integration testing software of 2026 by the boundary each tool exercises.
What Is Monkey Testing? How It Works, Types, and How to Automate It in 2026
Monkey testing fires random taps at an app to surface crashes scripted tests miss. See how it works and how AI agents turn blind randomness into judgment.
Cypress vs Selenium: How to Pick Without Second-Guessing
Cypress runs inside the browser. Selenium drives it from outside. That one split decides language support, browser coverage, and a class of flakiness. Here's how to pick in 2026, and the cost both share.
How to Test Email Verification and Password Reset Flows End-to-End (Without Flaky Tests)
Email verification and password reset tests flake on the inbox, not the clicks. Here's the architecture that makes them deterministic in CI.
Puppeteer vs Playwright: How to Pick Without Regret
Puppeteer is a lean Chrome automation library. Playwright is a full cross-browser test framework. Here's how to pick the right one in 2026, and the trade-off both share.
Playwright vs Selenium: Why the Faster Framework Loses to Maintenance
Playwright is faster and less flaky; Selenium has the ecosystem. But both break on selector maintenance, the cost your framework choice barely touches.
What Is Test Observability? How It Works and Why CI Needs It
A failed test tells you something broke, not why. Test observability is the layer that explains failures, separates flaky from real, and points to the cause.
What Is AI Testing? How It Works, Types, and Tools in 2026
Most AI testing tools bolt a model onto the same brittle workflow. After comparing the 2026 field on the work they actually remove, here is what the category gets right, where it falls short, and which type pays off.
What Is Mutation Testing? How It Works, Tools, and Why It Reveals Weak Tests in 2026
Mutation testing measures whether your tests would actually catch a bug by deliberately introducing faults and checking if a test fails. Here's how it works, the tools to use, and why it exposes the weak tests that high coverage hides.
Appium vs Detox: Which Mobile E2E Framework Should You Choose in 2026?
Appium vs Detox compared on architecture, platform support, flakiness, and setup, plus the locator maintenance tax both frameworks still leave you paying.
Espresso vs XCUITest: Which Native Mobile Testing Framework Should You Choose in 2026?
Espresso vs XCUITest, compared on architecture, speed, reliability, language, and CI. A practical 2026 breakdown of Android's and iOS's native UI test frameworks, and why shipping one app means maintaining two suites.
Appium vs Selenium: Which Should You Choose in 2026?
Appium and Selenium automate different platforms. Selenium owns web browsers; Appium owns mobile apps. This guide explains their shared WebDriver heritage, where each one fits, and the selector-maintenance tax neither removes.
What Is White Box Testing? Techniques, Types, and How It Compares
White box testing catches dead branches and logic errors by testing every path in source code. Covers techniques, coverage metrics, and comparisons to black box testing.
What Is Contract Testing? How It Works, Tools, and Where It Fits in 2026
Contract testing catches breaking API changes before services meet in a shared environment. Covers consumer-driven contracts, Pact, PactFlow, and when E2E testing takes over.
What Is Data-Driven Testing? How It Works, Frameworks, and Where It Breaks
One script, many inputs. How data-driven testing works, which frameworks support it, and where the data-table model hits its maintenance ceiling.
What Is Shift-Right Testing? How It Works and Pairs with Shift-Left
Catch what staging misses. Five shift-right testing techniques, how they pair with shift-left, and what each one is built to catch.
What Is Component Testing? Tools, Trade-offs, and Best Practices
Component testing verifies a single UI component in isolation, rendered in a real browser, the way a user interacts with it. Here's how it works, the tools to use, and where it fits between unit and end-to-end testing.
What Is Unit Testing? How It Works, Types, and Where It Fits in 2026
Unit testing verifies the smallest pieces of your code, single functions or methods, in isolation, so you catch logic bugs in milliseconds. Here's how it works, the frameworks to use, and where unit tests stop and end-to-end testing has to take over.
The Pre-Deployment Checklist: 10 Things to Verify Before You Ship
A 10-minute pre-deployment checklist for developers. 10 things to verify between merge and promote, plus what to hand off when time runs out.
What Is Smoke Testing? How It Works, When to Run It, and How to Automate It in 2026
Smoke testing is a small set of checks that confirm a build's most critical functions work before deeper testing begins. Here's how it works, how it differs from sanity and regression testing, and how to automate it in CI/CD.
What Is Visual Regression Testing? How It Works and How to Catch UI Bugs in 2026
Visual regression testing catches UI bugs that functional tests miss — broken layouts, clipped text, misaligned elements. Learn how the baseline-and-diff loop works, the four tool categories, and why pixel-diffing creates false positives.
Playwright vs Cypress: Which E2E Framework Should You Choose in 2026?
Playwright vs Cypress, compared on architecture, browser support, flakiness, and speed. A practical 2026 breakdown of which E2E framework fits your stack, and where both still leave you maintaining selectors.
How to Build a Regression Test Suite (Step-by-Step)
A 9-step playbook for building a regression test suite that actually runs. Includes real auth flow and checkout flow test cases, code examples, and how autonomous discovery cuts first-suite time to 30 minutes.
Autonomous Test Discovery: How It Actually Works
AI agents now explore apps on their own to find untested flows. Here's how autonomous test discovery works, where it wins, and what it still can't do.
Mobile App Testing Challenges: What's Really Breaking Your Tests
Here are ten challenges that break traditional test suites, and how autonomous testing can help you solve them.
Mobile Testing Automation: Why Your Tests Fail More Than They Should
Mobile test automation fails significantly more than web automation. Learn why vision-based testing eliminates selector maintenance and how to fix your mobile testing strategy.
Top 5 Mobile Testing Frameworks in 2026: Which One Fits Your Stack?
Appium, Detox, XCUITest, Espresso, and Maestro each solve a different problem and break in different ways. Here's how to pick the right one for your stack, plus where autonomous testing fits in the AI era.
Generative AI for QA: What It Does, Where It Falls Short, and Tools to Try
How generative AI is reshaping QA roles. Learn what to evaluate in GenAI testing tools, how to augment your workflow, and which platforms are delivering real results.
Testing AI-Generated Code: Why More Code Means More Bugs
AI coding tools made you faster at writing code. But 10x more code means 10x more bugs for your QA team to catch. Here's how to validate AI-assisted development.
What Is Autonomous Testing? How It Works and Why It Matters in 2026
Autonomous testing uses AI to create, run, and repair its own tests. How it differs from automation, and why AI-written code makes it necessary now.
iOS vs Android Testing: Why You Need Both (And How to Share 90% of the Work)
iOS and Android need separate test suites for platform-specific behavior. But 90% of your testing logic can be shared. Learn how to test both without doubling your workload.