The smallest footprint for an actual scripting probably will be posix sh - since you already have it ready.

A slightly bigger footprint would be Python or Lua.

If you can drop your requirement for actual scripting and are willing to add a compile step, Go and it’s ecosystem is pretty dang powerful and it’s really easy to learn for small automation tasks.

Personally, with the requirement of not adding too much space for runtimes, I’d write it in go. You don’t need a runtime, you can compile it to a really small zero dependency lib and you have clean and readable code that you can extend, test and maintain easily.

It’s not surprising per se, but it’s something that people should be more aware of. And a lot of this consumption is not providing global services (like the Google search or workspace suite) but the whole AI hype.

I didn’t find numbers for Google or Microsoft specifically, but training ChatGPT 4 consumed 50 GWh on its own. The daily estimates for queries are estimated between 1-5 GWh.

Given that the extrapolation is an overestimate and calculating the actual consumption is pretty much impossible, it’s still probably a lot of energy wasted for a product that people do not want (e.g. Google AI “search”, Bing and Copilot being stuffed into everything).

Please don’t take personal offense, but you have merely a project scaffold with an unrealistic goal that will be blocked and C&D’d into the ground, without any other projects created.

It doesn’t matter how hard you’re working on your anonymity, this project will be ripped apart by a horde of lawyers in seconds. You’re not only doing something questionable or against ToS, you’re directly attacking and sabotaging their monetization. This will not be taken lightly by the legal team of reddit.

You want to provide a better, cooler, more robust and other random buzzwords API than the own of reddit. So, you alone, want to provide a better API than the whole team of reddit does for their absolute core product, all by scraping. This is simply not realistic.

While we’re at the topic of monetization, scraping, ETL into your own model and providing the API - for the amount of content that reddit has (quantity, not quality) this will be a highly resource intensive task. How do you plan to fund that, since your API will be better than the official one, I can expect at least the same performance as well, right?

And also, most importantly, even if you magically achieve working around all that and get that working - why? Who is your expected user group? Pretty much every software using reddit moved away from reddit or simply has died. AI gen content is rampant, and most discussions seem like bots talking to bots. There is literally nothing to gain from an API to reddit - so why would anyone bother using it?

It might be, but to be fair, that’s what the glorified autocompletion is actually good for, if it’s actually used a supporting tool, and not to pump out quantity over quality.

Man, the disclaimer at the bottom that Business Insider is partnered with OpenAI to allow them to train on their articles is really the cherry on top.

Or you can just use vscodium.

If you use a dockerized environment, that will only work better on Linux. .NET8 is AFAIK natively supported on Linux, so there shouldn’t be too much of an issue apart from the usual clunkyness. Visual Studio will probably be more of a problem. The “easiest” way would probably be to switch to jet brains or vscode. If you are hardstuck on VS for whatever reasons, you probably should be able to do some voodoo with running it in docker and using the container as a remote desktop, but this will be PITA to setup and maintain.