245 karma · joined January 26, 2019
In non-containerized applications, the data & state live outside the application, store in files, database, cache, s3, etc.
In fact, this is the only way containers can decouple programs from state — if it’s already done so by the application. But with containers you have the extra steps of setting up volumes, virtual networks, and port translation.
But I’m not surprised this has to be explained to some people in 2025, considering you probably think that a CPU is something transmitted by a series of tubes from AWS to Vercel that is made obsolete by NVidia NFTs.
FYI: QUERY is for GET requests where the query string make the URL too long. It does this by sending a body like POST.
In the past, POST meant you were sending a body, and GET meant you received a body. And the people got religious about a pseudoacronym called REST.
So who is supposed to do it? Because executives sure aren’t.
When a Democrat returns to power in the USA, nobody will care what European vassal governments and corporations say or do anymore.
American projection through Europe has made Europe weaker and more subservient than ever.
But… someone what knows approximately what to do and sort of how to do it could work wonders — if we had LLMs trained on a corpus with specific rules.
I don’t know how to left join and what table I need to get the aggregate of sales in each region by date and price range, but I can describe it halfway and know how to check if each step is valid.
LLMs can do this. They’re trained on English, and they are able to weight definitive rules. But instead we throw a random text at a general purpose transformer.
Parsing a response of tokens into grammatical English is the most expensive computation (after the initial scraping and catalog). Instead of wasting all the cycles doing that against the sun total of GitHub, StackOverflow, Reddit, and Wikipedia, create a fuzzy match on a simplification a rigorous specification and train it on your data (just a few million tokens) to teach it that users have primary addresses and are associated to accounts that have regions and region X has roughly 10 times the sales volume of region y.
So someone intelligent in the matter with an understanding of logical rigor and a general idea of the data shape can actually become 10x more efficient, instead of trying to lift vibe coders to the level of Spakespearean monkeys, you could be turning mid-level devs into super analysts.
In the old days we used to just chop wood, and burn it to keep warm. Then sit down and watch the sportsball game on TV to waste time.