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If there is an error, learn to debug the program.
But they're expensive; they don't seem to scale to really large sites; every now and again you still run into some obscure and tricky configuration error that takes days to debug; and they have not exactly covered themselves in glory with their recent RapGenius controversy.
Written codes tend to be error-prone and hard to debug because of the limited memory resources.
Some error are very much difficult to debug while other are comparatively easy.
It had Unicode (albeit, UTF-16) from the start and a strong concurrency story, and it was a notch above C++ in terms of user experience (because, really, who wants to debug template errors deep in someone else's legacy code?).
You'll want to debug any errors before inviting others to playtest.
It is hard to debug JavaScript errors after the code is minified.
Unlike other software capable of consuming BioPAX, the validator identifies many issues in one pass without failing, and thus reduces the number of iterations required to debug BioPAX document errors compared with typical BioPAX consumer software (like PaxTools) that fail fast.
All this requires algorithmic techniques that are known in principle, but must be recreated and adjusted with each application, and which are error-prone to implement and tedious to debug.
Therefore it is of paramount importance to develop technologies and methodologies for reducing the time it takes to debug and rectify Logic Errors that are detected by Formal Verification Techniques.
It no big deal, it's obvious that you will face thousands of errors that might be really difficulty for you to debug.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com