DidItWork vs QA Wolf

QA Wolf's engineers write Playwright-based end-to-end tests for your application, maintain them as your app changes, and integrate them into your CI/CD pipeline. You get the benefits of comprehensive automated testing without writing or maintaining tests yourself.

DidItWork provides human testers who explore your vibecoded app and report bugs. There are no automated tests created as a byproduct. Each session is independent, with testers bringing fresh eyes each time.

QA Wolf's approach builds a lasting asset: your test suite. Over time, this suite grows and provides ongoing protection against regressions. DidItWork's approach provides point-in-time validation without creating long-term testing infrastructure.

For mature products with stable features and regular releases, QA Wolf's accumulating test suite provides compounding value. For vibecoded apps in early stages where features change rapidly, investing in an automated test suite may be premature.

QA Wolf is a significant investment, typically thousands of dollars per month. They provide dedicated engineers, ongoing test maintenance, and guaranteed coverage levels. The pricing reflects the depth of the service and the engineering resources involved.

DidItWork operates at EUR 15-45 per test with no ongoing commitment. You can test once and never come back, or test every week. The low commitment matches the experimental nature of vibe coding.

The ROI calculation differs based on your situation. If you have a production app with paying customers and regular releases, QA Wolf's investment in automated testing can prevent costly regressions. If you are exploring whether your vibecoded app is viable, a EUR 15 Quick Check from DidItWork answers that question without a major financial commitment.

Many vibecoded apps start as experiments. Committing to an ongoing QA automation service before validating the concept adds risk. Starting with DidItWork for early validation, then considering QA Wolf as the product matures, is a pragmatic progression.

QA Wolf's automated tests excel at catching regressions. Once a test is written for a flow, every subsequent change to that flow is validated automatically. This protects against introducing new bugs when fixing old ones.

DidItWork's human testers excel at finding issues that automated tests miss: confusing UX patterns, visual inconsistencies, edge cases that no one thought to script, and the general feeling of whether the app works as a real user would expect.

The most thorough QA strategy combines both approaches: automated tests for regression protection and human testing for exploratory validation. QA Wolf covers the former, DidItWork covers the latter.

For vibecoded apps specifically, the exploratory nature of human testing is especially valuable because AI-generated code often contains unexpected behaviors. Automated tests can only catch issues they are explicitly written to check for.