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I have a view that we are shifting from the traditional form of Engineering into a more AI guided form, where may be we are not learning as much about the code but about how we can produce that code with correct instructions and high level design.

It's like how we might not know how sewing is done but we know how to put instructions in a loom to produce it. I also agree it is still important to read that code and understand how it works, may be take a moment to see what is happening but we are learning something entirely different here.


Things always eventually fail. To be able to understand everything related is, and will be a massive advantage to every aspect of existence.

We shouldnt be giving it up just for some mild convenience (which seems so far overall really mild). The gain simply doesnt match the long term loss.


Why would they eventually fail? We already have large amounts of AI produced code in production. And managing large codebases written by someone else with poor documentation is not a new AI problem. It’s always been a scenario our industry has dealt with.

Just went through the job description, you guys are doing an amazing job and moreover, for this particular role, I liked the part of communicating with non-tech people and devising solutions to ambiguous problems. I love the work that is just not code, but also demands intellectual contributions! Would love a chance to know each other better.


  Location: Delhi, India
  Remote: Yes, or in-office
  Willing to relocate: Yes
  Technologies: Python, Typescript(React), Kubernetes, Linux, Eager-to-learn
Résumé/CV:https://drive.google.com/file/d/1Qv0rdYp_J3sjoE5K2ncH5mN1BEI... Email: [email protected]

Hi, I am Madhur. I am a Software Engineer at Canonical(Ubuntu). I am looking for teams where I can work and learn Deep tech.

Schedule a quick chat with me: https://calendly.com/21112002mj/quick-coffee-chat


Is it limited to US only, if yes, could you please update the post to include US. It says on the job portal that this is a US only job.


will update, thanks


  Location: Delhi,India
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python(Flask,FastAPI,Django),React, Relational DBs, Linux 
  Résumé/CV: https://drive.google.com/file/d/1FhEZdNpaLWJBrrgIcsLscGnRBOfm65RW/view?usp=sharing
  Email: [email protected]
Looking for: Every day after work I want to grab a coffee and think about "crazy" work I did today and "crazy" work I will do tomorrow. There is nothing that makes me more happy than to experience that "eureka" moment when something seemed "difficult/never-done-before" and I did my part in making that happen.


You may say I am on a similar page as you and what I think that it is now more important to know the larger picture because smaller gaps can be filled by AI, you can't be a go/python/xyz programmer rather you need to be an architect from the beginning of the careers. I am confused if I should use AI in my day to day tasks or not, I have seen AI now a days write better small codes and I a useful in bringing out the bigger picture. But this might again change in next 5 years, at least this is what I look at now


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