I spun my wheels for the first half of my stint at a tech company by being the sort of full-stack developer who never really specialized in anything. During th

I spun my wheels for the first half of my stint at a tech company by being the sort of full-stack developer who never really specialized in anything. During that time, I frequently noted that the engineers who were promoted to the top were specialists in one or more areas important to that company's goals. My managers always told me I was mistaken about that. So eventually I specialized in one of those areas and got promoted myself during the 2nd half, so much so that Google poached me (that didn't end well, but that's another story). These days, I work amongst the full-stack crowd who want everything written in Python so they can modify supposedly low-level inner loops with impunity. When repeatedly confronted with a C or GPU procedure that is 50-100x faster than its Python equivalent (dynamic typing in inner loops is a harsh mistress and even numpy can make Python coders do really strange things leaving one with code still 5-10x slower than bespoke C/GPU code), they complain about the difficulty of writing C/GPU code rather than consider the performance they're leaving on the table and the money they're wasting by running performance-sensitive code that way. But then, I've always considered getting my hands dirty and rooting out bizarro bugs the fun part. The hardest part for me is when to say a project is done because I can always find room for improvement. And I prefer to work with people who have a similar viewpoint. It's not easy to find them.