Login

u/Kodrackyas

r/OpenSourceeAI r/Toscana r/ItaliaStartups r/techcompenso r/GetNoted r/Guildwars2 r/AuroraBorealis r/AuroraNorway r/formuladank r/PiCodingAgent r/Blazor r/IA_Italia r/OpenSourceAI r/QuandoCeraloStereo
[Norway] I gathered data for another trip up north in october, thought id share the results here ( html in link )
▲ 8 r/AuroraNorway+1 crossposts

[Norway] I gathered data for another trip up north in october, thought id share the results here ( html in link )

It's a html page you can open on any computer / smartphone for ease of use, my goal was to have data digested and elaborated to find indicators about "aurora quality" that's not only KP index /BZ etc,

i was interested to merge data like: clear skies, wind, latitude ( as south as possible for me coming from italy ), average rain, light pollution, population hubs etc, the result in my opinion was interesting:

Brønnøysund is a very good option ( for me atleast, because i don't want to go north of lofoten for this trip )

Let me know what you think also from your experiences expecially if you are from Norway! here's the link:

https://html-preview.github.io/?url=https://github.com/Kodrack/Norway-aurora-october/blob/main/aurora.html

or for the file

https://github.com/Kodrack/Norway-aurora-october

u/Kodrackyas — 17 days ago
▲ 22 r/IA_Italia

Ho comprato recentemente una r9700 32gb, se vi serve hardware serio per LLM non posso fare che consigliarvela, Qwen 3.6 27b Q6 40 T/s

27b 40 T/s

35b moe a 110 T/s

in più ottima per giocare....

il tutto a 1600 euro su amazon, prezzo fuori di testa a mio parere

reddit.com
u/Kodrackyas — 2 months ago
▲ 13 r/QuandoCeraloStereo

gIANNII Me smia la Anita hahahahah

Custu si le propi bel, l uma mangiase l buji cu la salsa d tumatiche e el bagnet vert, cramenca l'era propi bun stu si, ai mancava mac i cuijun ent' l oli

Bartolo 🥸 .idj..jdub picie a torino oea

u/Kodrackyas — 3 months ago
▲ 37 r/Guildwars2

PVP is nothing like i remember from 2012 -> HOT era, too much power creep?

So i was playing spvp after years and years of only wvw, what has this becomed..... like the fun gw2 combat here completelly disappears, and it's just who can FPS oneshot faster, anyone that has knowledge of this, what happened?

i remember yes the cele meta but also the build diversity, you could see and understand what was happening, you could build yourself as glass cannon, but glass cannon don't exist anymore... everyone has some immune bullshit or things like that

i feel like the power creep levels are trough the roof, i never remember someone downing someone so fast, it's litterally useless, it used to be a relaxing game mode, i much prefer a pre HOT thief 4 shot dead than this... it's unplayable...

reddit.com
u/Kodrackyas — 3 months ago
▲ 14 r/techcompenso

[Offerta lavoro] Da parecchio tempo bazzico su questo sub, mi pare che ci sia gente molto preparata e penso ( spero ) che possiamo risolvere la situazione lavorativa almeno ad uno di voi

Ciao a tutti

Premessa: non sono HR, semplicemente gestisco lo sviluppo di un'azienda irlandese di un prodotto SAAS ( è specificato nel google form chi siamo, non metto direttamente qua il nome per evitare scraping )

Stiamo cercando uno/a sviluppatore/trice, ho chiesto direttamente a u/flallo95 se potevo postare perche non è negli standard di questo sub

Da parecchio tempo bazzico r/techcompenso e penso che è arrivato il momento di postare l'offerta di lavoro seria, con molti di voi ho gia chiacchierato sia in chat che in video call dopo che mi avete contattato nei vari commenti qua e la, in questo modo apriamo la cosa in modo pubblico

In passato abbiamo avuto molto successo a reclutare direttamente da reddit, andando a pescare direttamente ne subreddit di interesse

Compenso, come detto prima io solo gestisco lo sviluppo e la parte tech, posso dirvi che essendo l'azienda irlandese gli standard sono a livello irlandese, collaboriamo a lungo termine con partite iva, ma non sono io a gestire la cosa

Situazione lavorativa: Qua e' dove possiamo vantarci di avere un ambiente di lavoro sano, no micromanagement, no project manager, 2 call a settimana da un ora, niente review e minchiate varie di agile / code review, onestamente usiamo solo JIRA per gestire i tasks, full remoto e ci sentiamo quando serve

------
100% lingua inglese, molto importante, ci serve qualcuno che lo parli benissimo
------

Di cosa si tratta: Cerchiamo un nuovo membro da inserire nel team, abbiamo apps in Blazor, e backend in C#, stiamo valutando quindi una persona che ha come minimo una di queste 3 conoscenze

-Svelte
-Blazor
-C# backend + conoscenza css

E' parecchio importante per noi il lato stile / css, perche' sviluppiamo full stack da backend a front end, ci occupiamo di temi molto stimolanti quali computer vision, modelli custom di machine learning, integrazioni AI con modelli fine tuned, anche in livello UI sperimentiamo creando componenti custom ed è molto importante per noi l'indipendenza e l' avere una mentalità aperta per valutare la soluzione di un problema minimizzando i rischi

Vi lascio qua' il questionario che postiamo normalmente per richiedere piu informazioni:

https://forms.gle/UiKQBpMv8qr8KBwT6

reddit.com
u/Kodrackyas — 5 months ago
▲ 0 r/Blazor

We are looking for a blazor / c# developer!

We’ve got a well-structured Blazor WebAssembly app, and we need someone who’s curious, not afraid to experiment, and has a solid grasp of basic CSS and styling.

Some key things about how we work:

  • The codebase is clean, especially on the component side.
  • We follow a no-BS CSS philosophy:
    • No bloated CSS frameworks
    • Every class is uniquely named and purposefully used
  • We’ve built a lot of native Blazor tooling ourselves — from AOP-style setups to kanban boards.
  • JS is used very sparingly (by design).
  • We use AI to help us generate code, but it's a tool it doesn't replace a person, each one is responsible for the code committed
  • Full remote

Component libraries?

  • Minimal use — only for things like input controls (e.g. MudBlazor’s multiselect).
  • No Telerik, Syncfusion, or other heavy libraries — been there, done that, never again.

( I am sorry I cannot post anything about comp range, it's not up to me to decide that, I just know a good place where good blazor developers are! and report them to my colleagues )

We hired developers on this subreddit in the past very successfully! If this sounds like your kind of project, feel free to reach out with the google forms link:

https://forms.gle/vXHvMxZFnfZk4oXt7

Let me be clear, we hire people DIRECTLY no consultants agencies in between!

( we already got spam about "we got devs available for you" offers, not taking them in consideration, we care and need a person on our team not a middle man )

Cheers!

reddit.com
u/Kodrackyas — 5 months ago
▲ 1 r/ItaliaStartups

Se avessi gia tutto il prodotto pronto, come procedere?

( Software IT B2B e B2C )

Bootstrap oppure cercare fondi? vorrei capire questo aspetto onestamente, punti di vista, sopratutto in ottica italia sul web si trovano gia' tutte le opinioni possibili

Grazie

reddit.com
u/Kodrackyas — 5 months ago
▲ 26 r/OpenSourceeAI+2 crossposts

LLM as logic processor, filesystem as memory — Q2 quant doing real agentic coding 50k context

Hello Pi subreddit, i have been running local models for coding tasks and kept hitting the same problems everyone does — the model writes an 800-line file in one shot and half of it is garbage, it spirals in its own reasoning for 4000 tokens, it forgets what it was doing after context compresses,

The core problem: we've been using LLMs as context databases when they should be logic processors. A 50k context window isn't meant to hold your entire project state — it's meant to process one small task at a time.

So i discovered PI and it's amazing customization options, I built a stack around Pi coding agent with Qwen 35B (Q2_K_XL quant through LM Studio) that enforces this at the API boundary. Not in the prompt — the model literally cannot bypass them.

The shift: instead of big monolithic calls, many small calls with memory in between.

What the guards enforce:

  • - Rejects any write/edit over 100 lines. Model has to write a skeleton first, then fill in one section at a time. If it tries to dump a whole file, the call gets blocked with instructions to split the work.
  • - If the thinking block goes over 2000 chars, it gets a correction telling it to write conclusions to disk and move on.
  • - Context monitor at 65% and 80%. At 65% it tells the model to write its state to files. At 80% it stops everything. The model writes its brain to disk while it's still coherent, not after it's already lost.
  • - If the model gives a long answer without writing a file, it gets told to save findings to a step file. Nothing stays only in context.

There's a .think/ and .plan/ directory that acts as the model's external brain. Every step, every decision, every finding goes to a file. When context gets compressed, it reads its own notes back. The model's memory is the

filesystem, not the context window. The LLM is treated as a logic processor — it doesn't try to remember anything.

Also built a /distill command that crawls a codebase, builds an import graph, topologically sorts the files, and has the model summarize them one per turn into a knowledge base. It splits the manifest into pages of 50 so it doesn't eat the whole context, and you can query it or distill even more so you can ask "big questions" without having pi and the small llm going around the filebase

You can drop files like svelte5-gotchas.md or astro-gotchas.md into a knowledge folder, and an isolated LLM call picks which ones are relevant to the current task. The selection reasoning never touches the main conversation. Only the content gets injected.

Example: asked it to build a Three.js plane flying game. First attempt it tried to write 652 lines in one write call. Guard rejected it. Model replanned, wrote a skeleton, then filled in features one edit at a time. End

result was a working game with 3D plane model, obstacles, HUD, minimap, start/game over screens. At Q2 quant. Many small calls, each one focused, memory persisted between them.

The session purpose gets saved separately to _purpose.md. When context compresses, it re-injects the original goal — not just the last step

All of this runs at Q2_K_XL quantization. That's the floor. If you're running Q4 or Q8 the results should only be better.

https://github.com/Kodrack/Pi-forge

Curious what models and quants other people are running for agentic coding. If you try it let me know how it goes, later ill post some screens about "benchmarks" i did with q2 model

u/Kodrackyas — 5 months ago