I've been enjoying working with LLMs for some weeks now, and realized that as faulty as these can get, asking them to put material in place to learn some resource may be worth my time.

I am looking to learn more about Clojure, I read through it all and was happy that it ends up with examples for an actual api app. I may ask for more in depth lessons as I find more suitable apps to be built.

Interesting... the way I workaround'd non-macos-native-sshfs is by using docker and mounting a local folder, do you plan on publishing your tool?

Absolutely: https://github.com/jabedude/sshfs

This looks fun! But the fact that the self hosted version lacks support for some core apps is sad, I'd love to be able to build puter apps! Any plans for an app store-like ecosystem?

Yes! definitely. Please stay tuned :)

Some time ago I was building a mitm proxy myself, then I found out about: https://www.mitmproxy.org/ Maybe you already had it in your radar

That's for HTTP/S and related, as parent said his is for BGP which is a completely different protocol

If you are open to suggestions, libp2p has a good amount of sdks for several languages and you can integrate kademlia for peer discovery

We are open to suggestions :) And the very first generation of P2P Matrix was indeed built on libp2p (and Protocol Labs led Element's Series B). However, the thought experiment here is whether we can get away without a full global P2P overlay at all in the interests of keeping it simple & stupid. We might well end up back at libp2p tho!

Edit: another option on our todo list to look into more is Iroh (https://github.com/n0-computer/iroh)

Some years ago, I co-founded a startup that would run workflows when email messages arrived, any email from any source was parsed and it would trigger "actions" that could include notifications - this sounds like a good use case for it! You don't need the service to expose an api to listen in, since most services end up sending email as last fallback.

Thank you for you feedback!

Do you still run that startup?

With Cozy Watch, I use the GitHub API, never thought about using emails as triggers.

I’ve actually got GitHub emails disabled, they can get pretty spammy.

Sadly no, the feedback loop with users lacked consistency and we never got around finding use cases. One of the visions for it was to help people clean up inboxes, because as you put it, some sources can get pretty spammy. I'll keep an eye out for Cozy Watch, I hope you are successful!

Thank you!

Please let me know if it can be helpful for you or your team.

reach me here: tiago@cozywatch.com

Mailgun has a free tier for low volume that you can setup on any email client via smtp.

> Some password hashing algorithms have a maximum input size. For example, bcrypt is limited to 72 characters.

Ahh, I was not aware of this limitation, thank you for clarifying. If I sign up for a service that does not allow up to 72 chars does it mean their hashing algorithm is of lower quality?

I don't think such an inference can be made.

> Why not train the AI on machine language and have it generate binaries directly?

Maybe that's the answer I was looking for, AI can "interpret" sentences referring to the problems/needs to be solved and it may lack the way to solve for those with the existing programming languages and it could come up with it's own "abstraction" on top of processes - or maybe not, and will plainly speak low-level 0-1s directly.

Sure, but do consider this may be an aside the main question: I (maybe naively) make the distinction that Software Engineering involves a wider range of problem solving that is not limited to programming, and programming is a specific subset of problems in that bigger collection.