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palashkulsh

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Been using llm for following usecase Big llm like Claude and gpt for coding help Copilot for coding Local llm like mistral2 for 1. Parsing LinkedIn posts to find jobs and put them in Google sheets 2. Mental sparring by giving local llm a problem and asking it to ask important questions instead of answer. This helps me identify if I have thought it through or have i missed some things

Imo it's about learning base concepts which remain the same and get utilised in bigger systems more forcefully. It's similar to learning algo and ds we might not get to use them in our current work but people in places use them and need them.

Coming back to system design, when I say concepts i mean design patterns. Like two different rate and capacity systems are coupled using buffering systems etc.

Good resource for this is Microsoft system design blog series. Go through them , they have standard problems and scalable solutions that can be adopted.

Another part of system design is distributed systems, how do you attack distributed system design again learn the design patterns that are frequently utilised in distributed systems.

How you can learn that is via excellent blog series and book by unmesh Joshi of thought works.

If reading is not your medium then there are ample video series on YouTube.

Nutshell- learn design patterns in system design.

I inherited jira-cmd from it's original author and added ton of functionalities to make my office life easier. I've been using it daily for the past 8 years.

The most used feature for me is i can save templates for jira like creating same type of jira (epic tagged, with labels, mandatory fields,and any other constant components, ) with multiple titles.

https://github.com/palashkulsh/jira-cmd

I can tell from my own workplace, scylladb people approached me for it. I make the design decisions but don't have the purchasing power while those who have the power,don't mind using anything else unless you have good reasons to persuade them. I won't have good reasons to persuade them unless I've tried it in production and played with it. I hope you see the cycle.

India- multiple companies are laying off . First 1000+ laid off from payment unicorn, then Google lays off. From what I can see( collecting job data) slowness is there and companies are letting people go and will hire again in few months ( Google tech)