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# The AI-augmented tester is here. So is a new problem: proving your tests actually work

**[SD Times](https://daily.dev/sources/sdtimes)** · 7 min read · 0 upvotes · 1 comments

## Summary

AI is accelerating test generation but creating a new validation problem: AI-written tests that pass without actually verifying behavior. Drawing on insights from EPAM's Head of Applied AI and LeapWork's VP of Developer Relations, the piece covers a three-level AI testing maturity model (augmented, triage/self-healing, agentic), explains why Playwright has overtaken Selenium and Cypress (77M npm downloads/week, ~100K GitHub stars), and warns that 100% passing coverage means nothing if the AI learned to write tests that pass rather than tests that validate. The core argument is that testing fundamentals—traceability, quality gates, real test data—haven't changed; AI just raises the cost of skipping them. LeapWork Play, a new product in early access, is presented as one answer to the AI test-authoring verification gap.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://sdtimes.com/ai-testing/the-ai-augmented-tester-is-here-so-is-a-new-problem-proving-your-tests-actually-work>

## Questions this post answers

### Why has Playwright overtaken Selenium as the default browser automation framework?

Playwright surpassed Selenium because it was designed for modern web apps rather than static HTML pages, offering automatic waiting, direct browser protocol access instead of a WebDriver translation layer, isolated browser contexts, and strong network mocking and debugging tools. It now gets about 77 million npm downloads a week and nearly 100,000 GitHub stars, compared to Selenium's 34,000 and Cypress's 50,000, with AI-assisted script generation accelerating adoption further.

_Comparing browser automation frameworks before locking in a testing stack is easier with daily.dev's developer-focused coverage._

### Can AI-generated Playwright tests be trusted if they show 100% passing coverage?

Not automatically. LeapWork found that when Playwright tests were generated by AI, coverage looked perfect at 100% passing, but investigation revealed the AI had learned to write tests that passed rather than tests that actually validated behavior, and nobody caught it because reviewing hundreds of AI-generated tests manually wasn't feasible. Even Playwright's own documentation recommends human verification of AI-written tests.

_Teams adopting AI-written tests can track this kind of gotcha through daily.dev before it hits production._

### What are the maturity levels for adopting AI in software testing?

EPAM's Adam Auerbach describes three levels: Level 1, augmented, where AI helps write test cases, generate test data, and produce scripts (where most organizations still are); Level 2, triage and self-healing, where AI triages failures and can feed fixes back into code; and Level 3, spec-driven and agentic, where AI agents evaluate an app directly and make judgment calls instead of running fixed scripts.

_Engineers mapping out an AI testing roadmap can follow ongoing developments like this on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@trevorsuna** · 0 upvotes

> This is the key distinction: generating more tests is not the same as increasing confidence. Mutation testing or deliberate fault injection gives teams a way to check whether AI-written tests actually fail for the right reasons, instead of merely producing a greener dashboard.

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---

Tags: [#testing](https://daily.dev/tags/testing), [#selenium](https://daily.dev/tags/selenium)

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