I've been a Jr coming up to two years. When working on tasks I have a rough idea of what I want to achieve and some steps on the way there, but don't know how to actually implement it. I've found using copilot useful to fill in some of the gaps and give me ideas and direction.
I'm concerned that there are skills I am missing out on developing, but at the same time if AI is being pushed so heavily is it not something I should lean into to be better equipped in working with it?
AI doesn't get everything right, and you need someone capable of validating that and pivoting it in the right direction. But also AI cannot currently do everything, so you need someone to fill those areas. Where I work there is a push to engage with AI more, probably to train it.
This is like any other job really, people aren't hired based purely on their skillset, but other factors too such as their capability to learn, their personality, will they mesh well with the existing team, have they got drive to make things better, do they have soft skills to position themselves to become better, is the person adaptable - are they able to use new technology to their advantage or are they stubborn and stuck in their old ways?
I want to be in a position to know and understand all the fundamentals, but is the bar for what is considered fundamental shifting? Once upon a time those who were writing low level code would have said what they do are the fundamentals, but as time went on we got new levels of coding and so knowing how to write low level code is no longer a required skill.
Apologies if I've misunderstood what you're trying to say. But thanks for responding, these kinds of discussions are helpful.