Our most valuable tests do not test code, they assert that our content is true

<p>The more I use AI tools like Claude Code, the clearer it becomes: engineering skills are what make AI output worth shipping.</p> <p>AI makes writing code faster. But shipping

<h1> Why Separating QA Code from Dev Code in Your Monorepo is a Game-Changer for E2E Testing. </h1> <h2> The Pain Is Real </h2> <p>Friday, 2 PM. Your team just ran 500 E2E tests.

<p>CI is red. You open the PR. Now what?</p> <p>You click the failing workflow. You read the logs. You open the trace viewer in a separate tab. You cross-reference the error with

<h2> The Asymmetry of Change: Why Your Tests Are Looking the Wrong Way </h2> <p>A passing build is often treated as a certificate of correctness. In reality, it's a narrow

<p>A frontend can look stable while becoming much harder to test.</p> <p>The main user journey may still work. The login button is clickable, the checkout completes, and the

<p><em>This is a submission for the <a href="https://dev.to/challenges/sanity-2026-09-16">Sanity Challenge, Path One: Ship an Agent That Queries Real Content</a></em></p> <p>We

<p>We're in an era where developers write UI with AI. You describe a screen, Claude or Copilot generates the code, and you ship it. But there's a gap nobody talks about:</p>

<p>Last month I asked a senior candidate the same question I ask everyone. "Tell me about a flaky test you fixed and how you fixed it."</p> <p>She paused and said, "I just added a