Assist me - yes
Make the decision - no
Autonomously handle my finance - hell no
Sometimes feels like its just generating really specific and personalised articles/blogPosts for me rather than handling any decisions or taking any load off me.
It doesn't matter what you're doing, there's always a trade off to taking a shortcut and rarely does the price not need paying.
We're seeing lots of code being ~written~ generated, deployed, checked (tested manually), then shipping it as done. Fine for the simplist of things, but in a complex system unintended side effects are far more common.
I feel like the system analyst role is going to make a resurgence in the coming years. Once the domain knowledge is lost, there's going to be a need to re-discover it and understand what should be happening and what is happening.
Going against the grain - i don't think all but the most expensive (and non critical) SaaS products are going to be replaced by an in-house system. If you're company of 100 people is spending $12k a year on HR software. Building and running it yourself isn't going to save you 12k and in reality it's going to cost you headcount for someone to manage and maintain it. Mattermost exists and people still pay Slack $200 per year per user when they could just roll out Mattermost "for free".
I've 'vibe coded' some internal tooling apps and it feels like i've joined a new company and been given a legacy codebase to work on, despite it being a week old.
I just assume all the posts that claim they've got a 20k line project in a single weekend is just marketing spam.
We’ve managed to put quite a dent in the feature backlog we had for our admin tooling. We knew what features we wanted, they didn’t require marketing or comms but did require time to spend doing them.
I did want it to improve our e2e testing but it didn’t make it as easy as I expected.
I'm so torn with verification on social media. But i'm surprised companies whose main source of revenue is ads and original content aren't putting something akin to 'verified human' tags on users for all to see. Not just to show authenticity but also to be able to say to ad buyers: your ads have been seen by x real users.
I mean sure, the next step will probably be "your ads have been seen by x real users and here are their names, emails, and mobile numbers" :(
As well as verification there must be teams at Reddit/LinkedIn/Whereever working ways to identify ai content so it can be de-ranked.
It's not just their flagship products. It extends to nearly _everything_ they release.
I have a relatively small workforce and office management platform. When MS Places was announced, we thought it was the end. We had a good run, but now one of the big players has entered the market and will wipe out all competition with a single swipe.
Anyway, it sucks. Potential customers who had waited for months tried to use it and immediately sought alternatives. Existing customers who told us they tried to use it and for one reason or another, gave up.
But it seems Microsoft's MO has been 'customer driven testing' for as long as i can remember.
Use it to get a primer in a new area
If i'm debugging i'll feed it what i know and see what it gives me. If nothing else gives me some ideas to get started.
Generate test data
I've tried it to generate html/css for an email and it kind of works but depsite asking it to doesn't work across all versions of outlook and gmail.
I'm overly cautious about what I paste in. Just like how you can find PII data in logs I think the amount of PII data that's being pasted into AIs will be crazy.
Total over saturation of that end of the market, and given it seems CompSci and SoftEng degrees are still in vogue it seems the trend will continue. Coupled with companies cutting back and wanting to maximize value they end up focusing on the upper end of the market (experience-wise).
Anecdotally, and from the companies I know that do have a graduate program, they've reduced the number of available positions, so there are still positions, but it's just much more competitive.
My advice would be to find any role roughly related to your target job and then pivot to what you really want. The difference in interviewing a candidate with no experience vs 12 months is night and day.
Sometimes feels like its just generating really specific and personalised articles/blogPosts for me rather than handling any decisions or taking any load off me.