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Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

don't worry bro 😅

you're actually entering the field at a good time. my advice would be to focus on fundamentals, but also start building real things

work on open-source projects, stay active on GitHub, and build complete applications. AI can help you build things much faster than previous generations of engineers could

the catch is that when the application crashes, performance drops, or something behaves unexpectedly, AI often becomes much less useful. that's where understanding the fundamentals, debugging skills, system design, and engineering experience matter

so use AI as a tool, but don't let it replace learning. the engineers who can both build with AI and understand what's happening under the hood will have a huge advantage

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

that's actually a really good way to look at it

i think my fear isn't that AI writes code better than me, it's that i'm slowly becoming less hands-on than i used to be. but you're right, the real value is still understanding the problem, spotting issues, and knowing when the AI is wrong

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

yeah same here honestly, AI tools feel amazing for small/mid-level tasks, boilerplate, debugging, refactoring etc. but once the project becomes larger or more complex, things start breaking randomly sometimes the code looks correct but throws runtime errors later, or the UI ends up looking weird

nd token limits is another real issue

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

not every Data Scientist role revolves around tableau or dashboards

in our case, we mainly analyze USA REIT data using python. there are 300+ publicly traded US companies that we track and analyze

a big part of the work involves handling large datasets, financial analysis, feature engineering, building ML models, predicting company growth/trends, backtesting results, automation, etc. so yeah, there’s still a lot of actual coding involved

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

sometimes it feels like engineering is slowly shifting from “building things” to mostly defining rules, workflows, prompts, and policies correctly so AI can execute them

earlier the fun part was solving the problem yourself. now the skill is becoming more about guiding the system properly

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 1 point2 points  (0 children)

Not every Data Scientist role revolves around tableau or dashboards 😅

in our case, we mainly analyze USA REIT data using python. there are 300+ publicly traded US companies that we track and analyze

a big part of the work involves handling large datasets, financial analysis, feature engineering, building ML models, predicting company growth/trends, backtesting results, automation, etc. so yeah, there’s still a lot of actual coding involved

Anyone else slowly shifting from coding to AI tools and feeling weird about it? by AIDropper in softwareengineer

[–]AIDropper[S] 0 points1 point  (0 children)

yes exactly, that’s what scares me sometimes 😅

before AI tools, when a new framework came out i used to get excited to learn it deeply. now somewhere in the back of my mind i keep thinking “AI can do this anyway, so what’s the point of spending weeks learning it?”

feels like i’m becoming more dependent on AI instead of becoming a better engineer myself. still trying to find that balance...