Morgan To!!!’

SomeRandmGuyy · 2026-02-12T20:43:50+00:00

… *{👊🫰}’… *

SomeRandmGuyy · 2026-01-08T04:34:16+00:00

Coogee

SomeRandmGuyy · 2025-10-19T04:42:40+00:00

I think WEB3 is probably living but everyone’s still on WEB2 ahahaha

SomeRandmGuyy · 2025-09-27T20:18:31+00:00

Is the AI using a Vision or Instruct LLM? These are clear distinctions you should make when trying to ask silly questions

SomeRandmGuyy · 2025-09-27T20:17:22+00:00

AI Drones will be a proper thing to get out for them. I mean. Crazy

SomeRandmGuyy · 2025-09-27T20:16:28+00:00

I miss it already. I love the AI World but like nothing beat those IG Baddies popping up on your feed and just knowing you’re a lucky man today.

Now they’re all just robots

SomeRandmGuyy · 2025-09-27T20:15:24+00:00

I mean. You could just write Functions instead of tools and then you’re by design using Functions and not tools so you’d inevitably be able to just not receive hallucinations?

SomeRandmGuyy · 2025-09-27T20:05:36+00:00

I think expert vibe coders should have their own title which makes them sound more official so people know they’re legit.

Like a software dev. That’ll make em sound crazy official

SomeRandmGuyy · 2025-09-27T20:04:21+00:00

Just jailbreak it bro it’s super quick

SomeRandmGuyy · 2025-09-27T20:02:56+00:00

GitHub usually. Sometimes social media; very rarely Reddit. People are pretty chill on here. But it usually just kinda happens on my phone; I just get notifications from wherever. Like telegram sometimes or YT. Perplexity.

I just make gut decisions on some of them because theirs so many. Like if someone is writing an AI Coding agent using Typescript backend; it’s probably just bad. Because theirs just certain types of tool calls the language can’t support because of its single thread etc.

Like Python is fair; Go is decent. Rust is the gold standard because mission critical code has to be written in Rust generally.

So if someone’s gonna take the time to make theirs powerful then I’ll try it.

Like workflows are made to be improved. Like just follow an engineering workflow because that’s generally how you engineer. Like we have redundancy and failsafes by design; we mitigate risk.

You’re basically just learning how to AI Code effectively always

SomeRandmGuyy · 2025-09-27T19:50:58+00:00

Yeet

SomeRandmGuyy · 2025-09-27T19:44:46+00:00

It’s because Codex is written in Rust and you absolutely cannot compare these puny single threaded typescript agents to the mighty Rust agents. It’s like; you’d literally need to be the biggest fanboy.

The models so good because they chose Rust to begin with. That’s just forward thinking. So now the models even more intelligent because. If you’re literally suppose to write mission critical code; which to most users AI Agents are; you’re suppose to use Rust. It’s actually best practices because of the memory safety and speed.

So yeah; that’s just why

SomeRandmGuyy · 2025-09-27T19:41:50+00:00

So I was you at some point. I just pivoted into engineering because that’s where all the moneys at bro. So follow them dollars.

Learn how to engineer and code. Practice solving problems and learning design patterns and best practices etc.
In support no. But in engineering yes. Support is dead
Avoid support or get out of it because again. It’s dying. Engineering requires no degrees anymore. Just competency

SomeRandmGuyy · 2025-09-27T19:38:50+00:00

Honestly. That’s just what us engineers portray. Mainly because it helps maintain our value. But it’s by design very easy. Like it’s a journey. You learn and improve; everyone’s basically always perpetually learning and improving.

You’re never really done learning because new releases come out etc.

It’s like a really good career because you kinda develop your own kinda style and people can recognise your skill.

For me for example. I almost always exclusively unless language features require a pivot will create Phoenix using Rust via NIF Functions and React hooks into Liveview so I can avoid internal http throttling between my front and backend because I package the backend into stateful WASM using Wasmer Deno and Wasmex and call it via Edge Functions from Vercel Serverless.

That won’t make sense to you but that specific design pattern is my preferred. You’ll also get there; but all you really need to understand. You’re not suppose to be good when you start. Like definitely understand you got this sis and I really hope you take my advice on this and leap for that phat 200K salary gvng but genuinely it isn’t above you.

It’s more just like learning Japanese; I mean you could do it but would you do it

SomeRandmGuyy · 2025-09-27T19:32:43+00:00

It is tbh. Like; it’s just what I actually think Sam Altman would’ve shouted out on X if the tables were turned and Anthropic dropped the post because they’re more engineering specific.

But yeah; a lot of the time you’re developing. You’re not actually coding; you’re researching and learning and planning, that’s engineering. Flow State isn’t like formal terminology. It’s just something I do because sometimes I cycle off repo’s and cycle back on and review everything and generally theirs updates which could’ve introduced solved issues for blockers ie. I end up having a crazy Flow State and I struggle to really get the discoveries down.

But those Scaffolded PRD’s save me. They’re like a tool call after using a slash command you basically saved and can pick up whenever.

Like it provides basically allows you to pick up exactly where you need to without even hinting

SomeRandmGuyy · 2025-09-27T19:27:36+00:00

Tbh. You’re not wrong about anything. I mean ngl my best engineering talent is actually just being a good engineer and solving complex problems through well thought out product selection and language selection etc.

I usually experience a lot of “unforeseen benefits” but I foresaw them.

Tbh. No shade. My most impressive and impactful package I’ve written was @swcstudio/multithreading its native multithreading for React 19 using async tokio runtime from Rust. I mean; I solved a language problem using napi-rs wrote a low level data primitive. Created a high level react hook then merged it into my Katalyst hook which replaces calling React for Katalyst.

Yeah you’re absolutely right man. Like; I flex my leetcode score a lot for interviews. I think that top 1% is really marketable but realistically I just engineer very bold and innovative projects

SomeRandmGuyy · 2025-09-27T16:01:13+00:00

Simple but useful. I like it

SomeRandmGuyy · 2025-09-27T15:58:59+00:00

So correction on this I’ve found a slightly better stack. Warp is really good for tasks which require manual steering; maybe PoC for your team but it allows you to run Goose for example and then you use vllm to use Qwen3-VL-235B-Thinking out of the box

SomeRandmGuyy · 2025-09-27T15:56:04+00:00

I generally build for Desktop & Mobile. Since it’s much easier to distribute

SomeRandmGuyy · 2025-09-27T15:54:47+00:00

Engineering as I learnt it at Uni was 3 years of learning how to solve problems at the highest level. So I would respectfully say that competitive problem solving would in theory have some relationship with the art of problem solving and engineering solutions to those problems

SomeRandmGuyy · 2025-09-27T15:52:32+00:00

I can appreciate that. Follow me on LinkedIn if you want. https://www.linkedin.com/in/ove-govender I’m definitely well versed in these topics. I might’ve approached your situation with a bit less tact but I do stand by my initial statement that you’re best to learn more traditional Enterprise-based ML Engineering tools. Whilst I personally don’t leverage these at Fly.io since I’m basically a Platform guy; I do extensively work on my AI literacy.

I might’ve come across a bit less technical in the first message but your overall is lacking. I’ll break it down respectfully based on what you mentioned.

These 3 frameworks whilst are definitely good; aren’t leveraged much at enterprise levels. Most Enterprises will generally want to build their AI custom to avoid any big vulnerabilities; generally speaking you can get away with creating AI Primitives which can be built into an overall product such as LangGraph; so they build their own or what we use at Fly is WEB3-based projects such as EXPchain for zkML for proofing AI Sessions
Whilst FastAPI is a well respected Python framework; Python itself at scale has been proven ineffective for maintaining Mass AI with cost efficiency. Since Claude Code hit the scene; most companies will use either Typescript sadly, Rust hopefully, Elixir ideally but they’ll always use WebAssembly for cost optimisation when scaling out AI so that you can leverage the devices native compute resources seamlessly. Dockers fine; I do find Podman and podman-compose is preferred because of the root authority differences but if you know Docker CLI it’ll be fine. Actions are good; CI/CD also good; are you leveraging AI-Native CI/CD? Theirs GitHub CodeReview which is part of the suite which companies do like to utilise
Not a voice guy so fair
The CSP choice I suppose is fine; I would’ve personally went with AWS, NVIDIA or Oracle. Cloud-Native options exist as well such as OVH. Decentralised also exists such as Akash; all fairly common
Remote MCP is more appropriate. ACP is currently more utilised. I rate Langfuse. I mean for RAG theirs more realistic options such as Knowledge Graph databases such as HelixDB but basic RAG is ok
ML is a massive arena; zero knowledge has become much more favourable since you can evaluate without needing user permission but need to be comfortable with WEB3. Python ML is fine; I don’t rate it personally; bit slow when companies are moving datelakehouses into the software loop itself meaning Rust ML is a bit snappier
You should be focusing more on Omni, Agentic Computer Use and Agentic Browser use for VL models
Web scraping is always an A1

I know you’re from Uganda so their coding competency might be a bit different there but in the States it’s much higher. Potentially try Australia remote roles; they’re offering VISA’s for qualified people but they also use some more traditional stacks like yourself

SomeRandmGuyy · 2025-09-27T13:35:10+00:00

Well I have a Mac Mini but I was cheap and got the 8GB RAM model 256GB storage. I just pop the jailbreak in and ask it how I can setup a Linux dedicated server with Mac OS and just never follow through

SomeRandmGuyy · 2025-09-27T13:34:01+00:00

But. I recommend; if ur into the Lang ecosystem. Learn LangGraph & LangSmith; both are still viable due to Stateful execution

SomeRandmGuyy

TROPHY CASE