How to Fail Your Test Automaton (easily!)
How to Fail Your Test Automaton (easily!)
60+ Lessons I’ve Learned (and Unlearned) from Failed Test Automation
About the Book
Let’s make a confession. This handbook is about me, and, I suspect, about you, your team, and your organization too.
I’ve made almost every mistake listed in these pages. I’ve seen them repeated in startups, enterprise systems, and everything in between, while mentoring teams, auditing architectures, or helping companies rediscover what testing is really for. The point isn’t to assign blame. It’s to hold up a mirror. Because the truth is, most of these mistakes are so common, you can probably spot a few right now; in your code, your team, or your last retrospective.
When we talk about test failures or mistakes, the first thing that usually comes to mind is developers, missed edge cases, flaky tests, broken pipelines.
But testing failures rarely belong to one group. They’re the product of shared habits and invisible structures: how the team thinks about quality, how architecture evolves, how deadlines reshape discipline, and how culture rewards delivery over learning. In other words, testing mistakes are organizational mistakes in disguise.
This handbook isn’t a deep dive into every technical detail of each error.
You won’t find pages of theory or academic frameworks. Instead, you’ll find a field guide, a practical map of the most common pitfalls, drawn from real projects, real people, and real pain. Each mistake is explained just enough to help you see it in your own context, and to start a better conversation about how to fix it.
In most teams, testing is treated like a checklist, not a discipline. Startups rush to automate before they know what to test. Enterprises build complex pipelines that run for hours but deliver no insight.
And in between, small teams copy-paste patterns that look like testing; but never produce trust.
These aren’t abstract issues. They’re the quiet daily habits that erode reliability, speed, and confidence, the hidden friction behind every flaky test or CI bottleneck story.
Good testing isn’t about proving code works. It’s about learning faster, reducing risk, and enabling fearless change. Bad testing turns curiosity into bureaucracy.
The goal of this guide is simple: to help you recognize the hidden costs of bad testing, and to give your team a shared language for improving it, one mistake at a time.
This handbook was distilled from hundreds of hours of consulting, mentoring, and real-world systems across Iran’s evolving software ecosystem. It’s not theory. It’s experience, condensed and organized so you don’t have to repeat the same pain.
If you find value in these pages, share it. Use it in retrospectives. Keep it as a mirror for your engineering culture. And when you’re ready to take the next step, to bring clarity, speed, and confidence back into your architecture, reach out.
Because the best time to fix how you test isn’t after the next incident.
It’s before it stops you from growing.
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