Interesting. Im curious, what are some key areas of math that you think is the most interesting/useful for software engineering (that you would personally recommend learning)?
I will likely have some spare time in the following months and i currently plan to spend it on deepening my senses related to linear algebra and analysis.
This is terrible advice. Communication is the solution.
We dont want a bunch of proprietary extensions to an open communications standard, do we? This is something positive.
That said, I dont have much hope for matrix. Implemented in python with the initial goal of “bridging every chat platform in existence” is just bound to be a disaster.
Maintaining anything beyond a couple of hundred lines in python becomes tedious imo.
The rewrite in go has been spoken about since like 2018, and matrix.org still runs synapse iirc. Synapse should have been trashed immediately after MVP demonstration.
Theres also conduit, but to be honest, i feel like the lesson here is to avoid feature creep. Safe, fast and distributed dm text chat should have been the target functionality, with a lean, mean codebase.
Thanks for coming to my ted talk
Proton is most certainly a mission critical Valve product. But, yeah, use whatever. I swear by Fedora.
Afaik, the way it currently works is by calling via javascript. Ironically, the way strings are handled in the browser is also a major performance block with rust at least.
This is perfect advice.
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Assuming danish. Need any more developers? In search for a danish software gig //swede
I would also add IPFS, a REALLY cool piece of tech.
Some really interesting suggestions in this thread that i will definately look into when i find the time.
People like you should be in leadership positions. The landscape rewards quick solutions, and quick solutions are rarely good solutions. “Whatever works” might still be a bad solution, just look at electron and that entire ecosystem.