me: "I'm too exhausted to do the job hunting CV restructuring I wanted to do today"
also me after reading a bunch of silly manga and an ADHD med: "alright, fire up my LaTeX docker container"

sidenote: I don't know how I feel about jetbrain's Fleet yet, except it is pretty easy to convert existing VSCode docker containers to it, it turns out (and so long as you don't use docker compose, it works fine with podman (tl;dr: it seems to have
docker-compose instead of docker compose hard coded in and at least on F41, podman only provides the latter)) and it's nice to not have to install VS Code.

#techPosting #jetBrainsFleet #docker #latexSoftware <- does LaTeX have its own hashtag? As amusing as it would be to get this caught in a fetish post, I feel like people following costume/drag/fetish accounts don't deserve to be riddled with tech stuff.

(I mean, no one does).

Just filled the #JetBrains Fleet survey which kinda indicates they want to do $79 a year for a glorified VS Code.

I'm honestly not seeing it working out that way, if you want a professional IDE you're paying for JetBrains anyway, if you want the free option, you go with VS Code.

Imagine paying $79 a year for VS Code.

#JetbrainsFleet

I wonder why #jetbrainsfleet is less reliable for Kotlin in windows than on mac.
I often get compilation errors all over the place when the code can compile from the CLI, gradle dependency changes don't get picked up or end up breaking the whole editor error reporting. Sometimes it fixes re-opening the window sometimes it simply doesn't go away and I end up firing up IntelliJ.
IntelliJ doesn't have those kinds of issues, I think it really hampers the experience.

I haven't tried to diagnose anything at all because it is random, but it has been random enough to start being uncomfortable.
#kotlin #jetbrains

I got a new laptop from work just before Xmas, and in a change from the last 6 years, it’s a MacBook. So I’ve been busy setting it up and getting it ready for 2024. Already have #JetBrainsRider and #IntelliJ along with #JetbrainsFleet installed, but spent way longer getting the CLI set up and going.

So I’ve now got #Tabby installed, #powershell set up for work specific stuff, and #NuShell set up for day to day. Along with #RipGrep, #FD, #StarshipRS, #broot, and a load of others.

Feeling Kotlin'ish today, this is a learning project that takes a json file with a particular structure and "converts it to PDF" I haven't added the actual HTML Templates to it but the general mechanism of
locating template -> reading -> parsing -> rendering html
locating json -> reading -> serializing to known object
taking document + known object -> pdf
Is ready it 'technically' works but... UI design is hard
😅

For the curious eyes:
https://github.com/AngelMunoz/resumakerkt

#kotlin #jetbrainsfleet #learningintheopen #jvm #sideproject #programming #clitools
GitHub - AngelMunoz/resumakerkt

Contribute to AngelMunoz/resumakerkt development by creating an account on GitHub.

GitHub

I try out #JetBrainsFleet on and off. But what throws me off still is the poor implementation of Vim bindings. A lot of the commands are missing, but more critically, searching using `/` is horribly implemented.

With `/` I want partial matching, with highlighting, and the ability to press `n` to find the next match. Now it just opens the Cmd+F search, which does not behave correctly

I've been using #jetbrainsfleet for C# stuff at work and I'm quite happy with it, also for personal kotlin stuff is working wonders

I did spot a couple of office mates that are also using it in their projects things are sailing great!
I played with kotlin's HTML DSL builder to make a component-like html construct

I have to say I like this, I feel it is quite boilerplatey but I'm codegen for that kind of thing can be automated from a particular spec defined in json

I would love it to have more documentation though I feel like I'm doing more than I should but the docs are scarce and not very clear in this area

---

side note, fleet is working good so far but I looks like there's a bug with some of the code suggestions are not being applied at the moment.

#kotlin #jetbrainsfleet
Actually tried to use the integrated AI component of #JetBrainsFleet yesterday. Writing code for the problem I was trying to solve it was mediocre, got the right direction but no good implementations. Code explanations it was better at, but honestly you could get the same result by just reading the code. Writing code documentation was really nice though and I can see it helping here. Did get it to write some commit messages which were meh, they lacked context so were right, but not helpful.