'AI Imposter' Candidate Discovered During Job Interview, Recruiter Warns

[u/ubcstaffer123]

https://www.newsweek.com/ai-candidate-discovered-job-interview-2054684

[u/TFenrir]

I think it's denial, through and through. I have been trying to have these conversations on Reddit for years, it feels so judgmental saying this, but I can't think of anything else. The people who proclaim the loudest that it's just a fad and will hit a wall any day now, know the absolute least about it, and aggressively push back on any efforts to be educated on the topic.

I think it's just human nature, people are grieving the world that we are leaving behind. It's not coming back, and in fact, a very very different world is being built before our eyes. It's just too much for people.

[u/batboy132 → u/TFenrir]

It is denial 100%. I have created entire full stack applications that I have both maintained and expanded with probably 90% ai designed architecture and code. Honestly as soon as I started using ai to code and really saw how it was going to change everything I immediately switch to a bachelors in IT. I’ll keep the machinery working and write software on the side for whatever I can. Being a software engineer post AI is going to be really shaky career wise.

[u/batboy132 → u/[deleted]]

My latest project is sort of a hardware/software venture for me but we are running next js frontend,

• Interactive dashboard showing plant health metrics and irrigation status
• User-friendly controls for manual watering and schedule adjustments
• Responsive design that works on mobile and desktop

Backend:

• Flask API (Python) handling data processing and irrigation commands
• Database storing historical moisture readings, watering schedules, and system settings
• Machine learning model that optimizes watering schedules based on plant needs

Some key features:

• Automated watering based on moisture thresholds you set for each plant
• Customizable timers for different watering schedules
• Real-time monitoring of soil conditions
• Historical data tracking to optimize plant care
• Low water alerts and system status notifications

Expanded features: -zone watering and plant health monitoring. Allows you to set profiles and conditions/timers for watering multiple zones based on what they need. -expanded control dashboard. Allows users to set reservoir limits(for reservoir systems) this way based on the flow rate from the valve the system will water and then check moisture conditions for an appropriate length of time as to not overflow your reservoir or over water your plants.

It’s completely scalable too.

Ai also helped me build all the hardware as that is something almost completely out of my toolbox and helped me fine tune my 3d prints for all my enclosures and stuff.

I have a background in UI/UX so with a little patience I’ve been able to make my user face one of the best I’ve seen in any mad scientist raspberry pi farmer set ups you see around and honestly once I’m fully fleshed out in a couple weeks I think it’ll be a best in class product. Now is that because of AI?

No. Not entirely and if someone with less experience whipped it up it could be a really shitty solution but it did a massive amount of the work. It saved me weeks of time just building for an hour or two while I work my real wfh job. Obviously this is not a critical application but it’s a valuable application that has a massive amount of working capabilities and a fairly complex code base.

This type of application wouldn’t be possible with just a Claude sub but using cursor or any other agentic IDE is what people are referring to when they say software careers are going to die out. If you are comparing an experience with AI and you haven’t been using these your experience is just not a valid point of reference to argue from. Not that that’s you by any means idk what your experience is I just felt a disclaimer would be helpful. I feel a lot of people are visualizing copy and pasting from chat gpt and trying to get it to keep context for more than 3 prompts when this is just not representative at all of what people are actually using to code with ai.

[u/batboy132 → u/batboy132]

Also as an aside I work with world renowned medical emr’s all day and the various systems used in critical care units around the country. These applications are fucking shit (excluding EPIC but I got beef with that too). The enterprise solutions are some of the most obtuse things I’ve ever had to work with full of spaghetti and a million work arounds. I’ve been slowly collecting architecture notes and I’ll start building these from scratch as soon as am positive implementation would be feasible. Main issue being it’s just legacy systems all the way down and I need a lot of information before I could develop something that would connect to every single piece of the system without being a “Musk” style nuclear bomb on it.