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Yes, exactly. Learning new things is hard. Personally it took me about 200 hours to get started, and since then ~2500 hours to get familiar with the advanced techniques, and now I'm very happy with the results, managing extremely large codebases with LLM in production.

For context before that I had ~15 years of experience coding the traditional way.



Has anyone else noticed the extreme dichotomy of developers using AI agents? Either AI agents essentially don't work, or they are apparently running legions of agents to produce some nebulous gigantic estate.

I think the crucial difference is that I do actually see evidence (ie the codebase) posted sometimes for the former, the latter could well be entirely mythos -- a 24 day old account evangelizing for the legion of agents story does kind of fit the theme.


You should write a blog post about your learnings. If you could even give some high level highlights here that’d be really helpful.


How many users is production and how large is extremely large.


200k DAU, 7 million registered, ~50 microservices, large monorepo


You have 50 microservices for 200k daily users?

Let me guess this has something to do with AI?


No, It has something to do with experience. The system is highly integrated to other platforms and have to stay afloat during burst loads.


.. what is this thing and can we see it?


you can OSINT me pretty easily, not going to post it here for the sake of anonymity against crawlers who train models on our conversations. today's HN comments are tomorrow's coding LLMs




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