In Go it’s not uncommon to use code generation to recreate boilerplate code, especially before the introduction of generics. No human looks at this usually. And if they do, they find the code they’re looking for contained in a few files. I personally found this pattern pretty good and easy to reason about.
I know it says no SEO, but you could actually create preview pictures for movies so that when a link gets shared the showtimes show up directly in iMessage or any other messaging platform. Of course only relevant until the showtimes change.
I found that the maximum number of hours I could do something productive was 6 hours while being in college. After this I was able to keep going but with diminishing returns. Nowadays it’s hard for me to find even a 6 hour block (while employed).
The best advice I heard is to treat interviewing like a full time job with lunch break and a defined end.
Yes, I am using it on a not so small dataset (roughly 1 million docs) and the output is a fairly efficient model. I am using gensim with pre-trained word vectors. New docs can be inferred via .infer_vector().
Overall my approach is less automated than what I have seen in your codebase so it’s likely a bigger investment. I am happy to share more.
