https://www.crowdsec.net/

You can look into this or fail2ban to get functional limiters running up and running quickly. If you go with crowdsec, i would suggest to use the cs-firewall-bouncer which will drop bots at the firewall level.

2012 - Anders Hejlsberg discovers some mushrooms growing from the base of his bathtub. After consuming them, he has a revelation that C# needs more Javascript. He invents Typescript. Typescript is a relatively verbose, garbage collected, class based, statically typed, single dispatch, object oriented language with single implementation inheritance and multiple interface inheritance. Microsoft loudly heralds Typescript’s novelty.

Extra fun fact for comment reading friends: This post is the origin of the meme “Monads are just monoids in the category of endofunctors. What’s the problem?” Source

Hear me out, but I believe that using Rust holds Lemmy back.

Writing Rust code is difficult, and fairly time consuming. It’s difficult to get right, and as other commenters have noted, Lemmy code seems to do a lot of things for the “hype factor” (like Websockets). It’s difficult to find enough devs as well.

The article about Discord switching to Go in the top comment is misleading in my opinion. They totally rearchitected their service while rewriting it, so it’s an apples to oranges comparision.

Caddy is great, I’ve been using it for all greenfield projects.

P. S. Have you checked out the Caddy API?

I came today from Reddit. Think i’m here for good. This feels magical.

Revolution is in the air?

This is a good take. All of programming is ultimately just tools to solve a problem, and if we don’t have domain knowledge, we can’t effectively solve the problems that we set out to in the first place.

Really hit the nail on the head about the “invisible decisions” which happen like the quality vs quantity with sails.

The cover art is so beautiful <3

I’ve been using ChatGPT at work quite a bit now. Some of the things I’ve used it for are:

1. Writing a shell script that scrapes some information about code modules and shows them neatly
2. Minor automation scripts that setup and make my day to day docker workflow easy
3. Writing random regex, sql, lua pattern matching functions
4. It turned out to be surprisingly good at creating code examples for certain undocumented APIs (kong.cache, kong.worker_events, kong.cluster_events) in Kong API Gateway.
5. Copy pasting a rough python automation script, converting it into Go, and adding it in the application itself.

I still don’t feel comfortable using it for anything big.