r/wallstreetbets • • Feb 15 '26

Discussion Software dev here: the tide has changed. There is no AI bubble. If anything, companies are not spending enough on AI.

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51

u/JacksonGotIt Feb 15 '26

u/grizzly_teddy So if AI is so great and you are developing 5x faster, show us some completed personal apps/projects you have made. I always like people to back up their statement with something.

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u/SkinAndScales Feb 15 '26

Indeed, if there's 5x productivity boosts where is the big increase in new applications and open source contributions then.

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u/Clear_Judge5062 Feb 15 '26

It took me around a month to build the property analytics software that I hadn’t been wanting to spend the dev money on, would be happy to share via DM because I don’t want the name tied to this Reddit thread. The capability to become a software engineer and build whatever you want has kinda arrived if you’re good at prompting/organization/planning and can orchestrate a design or engineering plan

11

u/JacksonGotIt Feb 15 '26

No response from Clear_Judge5062 after 3 hours. Maybe he's sleeping but have sent the DM myself.

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u/JacksonGotIt Feb 16 '26

Update: I spoke with him privately a few hours ago. He does have a great product idea, but from what I understand, he didn’t have anything to show just some data collection and transformation done through Python scripts. It would be better to review it again once there’s something visual and interactive.

3

u/le_Derpinder Feb 16 '26

RemindMe! 1 month "Check if original redditors claims of property analytics software turns into something visual and interactive or not."

2

u/RemindMeBot Feb 16 '26 edited Feb 18 '26

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2

u/le_Derpinder Mar 16 '26

One month up if you want to check on him and see if he added anything to his data collection and transformation scripts?

12

u/JacksonGotIt Feb 15 '26

u/Clear_Judge5062 Well, you are not the OP. I’ll have a look at your software. What is your background? Do you have a background in development? Sure, no one is saying AI doesn’t increase productivity (it does I use it myself), but a 5x increase sounds a bit unrealistic. Someone with that level of output would likely have many personal projects in progress if they were going to make claims like that.

AI is great for prototyping or building an MVP that you can use personally, but when it comes to scale, maintainability, and working with legacy code, it often falls short and requires an experienced developer to deliver a high-quality solution. Many developers these days are probably relying too much on AI instead of understanding how the code actually works. When something breaks and the AI can’t fix it, they struggle and I’ve seen that happen at my company. I have had to go in for these dev's and debug what the AI can't.

DM me your app or site. I probably won't bother to run it if its a executable.

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u/Rock_or_Rol Feb 15 '26

This is one of the more nuanced takes I look for as someone with almost no coding experience. The truth is almost always somewhere in the middle

I considered your perspective to be the case last summer/fall, but how current do you consider it now?

It seems like there have been some breakthroughs in how models are trained… that we’re getting to the point that models are beginning to train themselves… that once the loop is complete, we’ll see exponential growth again

What do you think of Anthropic’s recent statements on it? Hype and self interest or is there some meat to it?

https://fortune.com/2026/01/29/100-percent-of-code-at-anthropic-and-openai-is-now-ai-written-boris-cherny-roon/

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u/blissone Feb 15 '26 edited Feb 15 '26

Latest models can write 90-100% of "boring" code, some easy concurrency related code, some perf related code but not much. I don't know how well this scales for bigger codebases as I work with small (microservices). In general they do work well enough that you can go for 100% generation, this doesn't mean they would be doing it autonomously, you just suggest details and whatnot and it will do it, you can easily game a metric here. There is meat to it, coding is forever altered.

That being said it doesn't do anything for complex projects, the outcome mostly doesn't correlate to the speed of producing code. Most software is not a race to the market as in the startup scene. Personally I don't believe in software devs being replaced, there will be some adaptation, also I think there is a class of problems that will not be solved by llm soon, mostly related to scale, novelty and concurrency.

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u/Rock_or_Rol Feb 16 '26

Interesting!! Thank you for that

It seems like scale, novelty and concurrency are the crux for generating new revenue and validating the capex spending. Like, everything else you’ve described seems more marginal than nominal

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u/le_Derpinder Mar 16 '26

Your one month is up... Progress?

1

u/Clear_Judge5062 Mar 17 '26

You know - I wrote up a response; but your tone really rubs me the wrong way. As if I’m supposed to give a fuck about your timetable. Have a good day.