Activity
Mon
Wed
Fri
Sun
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
What is this?
Less
More

Memberships

Clief Notes

7.4k members • Free

9 contributions to Clief Notes
Which one: VS Code vs Cursor vs Antigravity?
I use, but I'm thinking about switching my IDE for a change of pace and to explore new workflows. I'm curious if any of you use alternatives like Cursor, Antigravity, or something else entirely. If so, which one do you prefer and why? I'd love to hear your experiences and recommendations before deciding on a switch.
@Ray Richards Yes it does make sense and thank you for the information, I really appreciate it
@Tu Tuaiti Hey! is there any specific reason for example, that you use antigravity and no VS Code or you just heard about antigravity first and you chose it?
Who's here? Drop your intro.
Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.
0 likes • 8d
Konstantinos here! AI Engineer | Robotics Enthusiast Your approach seems the best and I would like to learn more about it. I want to take advantage of claude code the most. So the File system approach is what I want to master.
0 likes • 3d
@Jake Van Clief Everything is so great, I already learned so many things. Thank you for the valuable knowledge you are sharing!
Has anyone here changed careers?
Not long ago I had absolutely no background in programming. I started learning out of pure curiosity after discovering AI and realizing how powerful these systems were becoming. At first everything felt overwhelming syntax, debugging, concepts I had never seen before but I kept showing up every day and building small projects. Fast forward a few months later, after countless hours of learning and experimenting, I managed to land my first role as a Junior AI Engineer. The journey wasn’t easy, but it proved to me that with consistency and the right resources, changing careers into tech is actually possible. I'm curious, has anyone else here made a similar transition?
0 likes • 3d
@Robert Randall Thanks for your kind words and you are absolutely right. You learn mostly by doing. My biggest project that made me say that and it was the one that impressed my interviewer it was a virtual waiter I made using a rag system. One year ago strict flow agents with LangGraph was in early stages, so I had made an agent with a restaurant menu as an external knowledge and you could interact with it and take suggestions, it was kinda cool and big thing when agents weren’t so famous. Good stuff!😅
@Cristian Escribano Sorry to hear that, injuries sucks, I was an athlete too not in that level though. Work hard and everything will go great, wish you all the best!!
local AI build recommendations
Hi everyone, I am glad to join the community of like minded people building and working with AI. I had a quick question.... I am currently on intel 10600K 24gb 2666mhz ram RTX 3060 TI I am going to upgrade to Ryzen 7 9700X x870E motherboard (haven't decided which one yet) 64 GB of ddr5 ram ( just waiting for markets to cool) and I wanted to know what do you all recommend for GPU's to run ? I plan on running dual GPU s but I want to know if single will be better to run a local AI and automation business ? please let me know below based on the poll which GPU would be best suited and if its better to run single or dual GPU. thank you all in advance.
Poll
15 members have voted
@Zaneer Dhalla If the goal is to run an automation business, I would recommend going with NVIDIA hardware rather than a Mac. The main reason is the ecosystem: most AI frameworks and inference engines like PyTorch, vLLM, and TensorRT-LLM are heavily optimized for CUDA, which makes development smoother and performance more predictable. NVIDIA GPUs also give you more flexibility because you can upgrade or add more GPUs later as your workloads grow, and most production AI environments already run on Linux servers with NVIDIA hardware, so your local setup will match deployment much better.
@Crae Säkkinen Of course your approach is great as well, that could work perfectly.
What LLM do you actually use day-to-day?
Hey everyone, Curious what the community is running in production or for daily development. Are you mainly using OpenAI, Anthropic, open-source models, or something else? And more importantly why did you choose it? (performance, cost, context window, tooling, etc.) Also curious about your workflow: what IDE are you using with it? VS Code, Cursor, Antigravity, or something else? Would love to hear: • Your main LLM provider • Your IDE / dev setup • One reason you stick with it Always interesting to see what people actually use vs what’s trending.
@Alex Kao Basically, now that I read it again you said that you need UI to work, I thought you meant you work with UI, my mistake😂😅
0 likes • 3d
@Berend van Dijk That's what I do as well! When I need advise or have general questions I go to gpt, but for work claude is my best friend
1-9 of 9
Konstantinos Tournas
4
67points to level up
@konstantinos-tournas-3866
AI Engineer | Robotics Enthusiast

Active 17h ago
Joined Mar 12, 2026
Greece
Powered by