Why QA Engineers Who Understand Code Are Worth More Than Those Who Do Not

There is a version of QA that stops at the ticket. You find a bug, you write it up clearly with steps to reproduce, you assign it to a developer, and you wait. That is the job done, technically. The defect is documented. The ball is in someone else's court.

I have never been fully satisfied with that version of the job.

The issues I have been working through recently made this clearer than ever. Three separate problems, all complex, all cross-platform, all the kind of thing that could sit in a backlog for weeks if the approach was purely to log and wait. In each case I went further than the ticket.

The certificate configuration failure

The first was a fatal error thrown by a configuration tool when processing custom CA certificates. The error message pointed to a missing executable in the system PATH. On the surface it looked like an environment issue. The kind of thing that gets closed as works on my machine and handed back to the customer.

I dug into it. The tool was running as its own process, which meant it did not inherit user-level PATH changes. The bundled Java runtime had the keytool executable right there in the installation directory but the system PATH did not include it. The fix was a single PowerShell command to add the correct path at the machine level rather than the user level.

I verified it worked, documented exactly why it had to be the system PATH specifically, and handed it to the team with a working solution rather than a problem.

The missing directory on Windows

The second issue was subtler. A folder that should have existed after installation was simply not there on Windows. The same process worked fine on Linux because the directory gets created as part of the Docker image build. On Windows, the installer was not explicitly told to create it.

I traced it to the installer configuration file. Inno Setup will not create an empty directory unless you tell it to in the dirs section explicitly. One line needed adding, matching the pattern already used for a similar directory in the same installer. I identified the fix, explained why it behaved differently across platforms, and it went straight into the next release.

The Linux upgrade script

The third had been broken since February. An upgrade script on Linux was failing silently and nobody had had a stable Linux environment to test on properly until I got access to one. I found the issue, identified a one line fix in the shell script, verified it worked, and got it into the April release.

That last one is worth dwelling on. A broken upgrade path is a serious thing. Customers hitting it would have no clean way forward without support intervention. A one line fix, verified and documented, got it resolved before it became a wide-scale problem.

What this has to do with understanding code

None of those investigations would have gone the way they did if I had treated them as black box defects. Understanding how system PATH resolution works, how installer tools handle directory creation, how shell scripts behave differently across environments. That knowledge is what turned three vague problems into three specific, actionable fixes.

QA is often described as finding problems. I think the more accurate and more valuable version is understanding problems. There is a meaningful difference. Finding tells you something is wrong. Understanding tells you why, where, and what it would take to fix it.

A QA engineer who can read code can look at a failing test and understand whether the test is wrong or the product is wrong. They can look at a stack trace and know which layer of the system to focus on. They can look at a configuration file and spot what is missing. These are not developer skills that QA engineers happen to have. They are QA skills that become significantly more powerful when paired with technical literacy.

The practical argument

The team I work with trusts me to go deep on problems rather than just surface them. That trust was built over time by consistently doing exactly that. When something breaks in an unusual way, the expectation is that I will come back with more than a reproduction case. I will come back with a theory, often a fix, and always a clearer picture of what actually happened.

That changes how quickly things get resolved. It changes how the relationship between QA and development works. It changes what gets into releases and what gets deprioritised.

If you are a QA engineer and you are not investing in your technical skills, I would genuinely encourage you to start. Not to become a developer. But because the problems you are paid to understand are almost always technical at their root, and understanding them properly makes everything you do more valuable.