It looks like you took a completely wrong message away from this: because you unreasonably demand specific formal qualifications for hiring a software engineer, you have also unreasonably and irrevocably wiped out your text translation application instead of learning the linguistic fundamentals on your own and improving it accordingly.
People in the field of software are constantly thrust into areas where they have no formal qualifications. No less a person than Geoffrey Hinton unwisely proclaimed that deep learning means that training as a radiologist is now pointless. Flesh-and-blood radiologists have rightly pointed out that he's in the wrong about this. That doesn't mean that Hinton should walk back his efforts in deep learning in general, or that he or anyone else applying deep learning to radiology should just shitcan their entire efforts.
What they should really do is recognize that they don't know everything and update their work instead of just wiping it out and sneering at everyone who doesn't have their very specific knowledge base. The moral of the story is, again, that you should treat honest mistakes made by others as your own honest mistakes and be willing to forgive others as you forgive yourself. And don't forget that "bootcamp people" may know a lot of things that you don't know.
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It looks like you took a completely wrong message away from this: because you unreasonably demand specific formal qualifications for hiring a software engineer, you have also unreasonably and irrevocably wiped out your text translation application instead of learning the linguistic fundamentals on your own and improving it accordingly.
People in the field of software are constantly thrust into areas where they have no formal qualifications. No less a person than Geoffrey Hinton unwisely proclaimed that deep learning means that training as a radiologist is now pointless. Flesh-and-blood radiologists have rightly pointed out that he's in the wrong about this. That doesn't mean that Hinton should walk back his efforts in deep learning in general, or that he or anyone else applying deep learning to radiology should just shitcan their entire efforts.
What they should really do is recognize that they don't know everything and update their work instead of just wiping it out and sneering at everyone who doesn't have their very specific knowledge base. The moral of the story is, again, that you should treat honest mistakes made by others as your own honest mistakes and be willing to forgive others as you forgive yourself. And don't forget that "bootcamp people" may know a lot of things that you don't know.