Yeah... It's useful for summarizing searches but I'm tempted to disable it in VSCode because it's been getting in the way more than helping lately.
this post was submitted on 11 Jul 2025
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I work for an adtech company and im pretty much the only developer for the javascript library that runs on client sites and shows our ads. I dont use AI at all because it keeps generating crap
I have to use it for work by mandate, and overall hate it. Sometimes it can speed up certain aspects of development, especially if the domain is new or project is small, but these gains are temporary. They steal time from the learning that I would be doing during development and push that back to later in the process, and they are no where near good enough to make it so that I never have to do the learning at all
Explain this too me AI. Reads back exactly what's on the screen including comments somehow with more words but less information Ok....
Ok, this is tricky. AI, can you do this refactoring so I don't have to keep track of everything. No... Thats all wrong... Yeah I know it's complicated, that's why I wanted it refactored. No you can't do that... fuck now I can either toss all your changes and do it myself or spend the next 3 hours rewriting it.
Yeah I struggle to find how anyone finds this garbage useful.
This was the case a year or two ago but now if you have an MCP server for docs and your project and goals outlined properly it's pretty good.
Not to sound like one of the ads or articles but I vice coded an iOS app in like 6 hours, it's not so complex I don't understand it, it's multifeatured, I learned a LOT and got a useful thing instead of doing a tutorial with sample project. I don't regret having that tool. I do regret the lack of any control and oversight and public ownership of this technology but that's the timeline we're on, let's not pretend it's gay space communism (sigh) but, since AI is probably driving my medical care decisions at the insurance company level, might as well get something to play with.
You shouldn't think of "AI" as intelligent and ask it to do something tricky. The boring stuff that's mostly just typing, that's what you get the LLMs to do. "Make a DTO for this table " "Interface for this JSON "
I just have a bunch of conversations going where I can paste stuff into and it will generate basic code. Then it's just connecting things up, but that's the fun part anyway.
Most ides do the boring stuff with templates and code generation for like a decade so that's not so helpful to me either but if it works for you.
Yeah but I find code generation stuff I've used in the past takes a significant amount of configuration, and will often generate a bunch of code I don't want it to, and not in the way I want it. Many times it's more trouble than it's worth. Having an LLM do it means I don't have to deal with configuring anything and it's generating code for the specific thing I want it to so I can quickly validate it did things right and make any additions I want because it's only generating the thing I'm working on that moment. Also it's the same tool for the various languages I'm using so that adds more convenience.
Yeah if you have your IDE setup with tools to analyze the datasource and does what you want it to do, that may work better for you. But with the number of DBs I deal with, I'd be spending more time setting up code generation than actually writing code.
If you give it the right task, it’s super helpful. But you can’t ask it to write anything with any real complexity.
Where it thrives is being given pseudo code for something simple and asking for the specific language code for it. Or translate between two languages.
That’s… about it. And even that it fucks up.
I bet it slows down the idiot software developers more than anything.
Everything can be broken into smaller easily defined chunks and for that AI is amazing.
Give me a function in Python that if I provide it a string of XYZ it will provide me an array of ABC.
The trick is knowing how it fits in your larger codebase. That's where your developer skill is. It's no different now than it was when coding was offshored to India. We replaced Ravinder with ChatGPT.
Edit - what I hate about AI is the blatant lying. I asked it for some Service now code Friday and it told me to use the sys_audit_report table which doesn't exist. I told it so and then it gave me the sys_audit table.
The future will be those who are smart enough to know when AI is lying and know how to fix it when it is. Ideally you are using AI for code you can do, you just don't want to. At least that's my experience. In that, it's invaluable.
I have asked questions, had conversations for company and generated images for role playing with AI.
I've been happy with it, so far.
That's kind of outside the software development discussion but glad you're enjoying it.
As a developer
- I can jot down a bunch of notes and have ai turn it into a reasonable presentation or documentation or proposal
- zoom has an ai agent which is pretty good about summarizing a meeting. It usually just needs minor corrections and you can send it out much faster than taking notes
- for coding I mostly use ai like autocomplete. Sometimes it’s able to autocomplete entire code blocks
- for something new I might have ai generate a class or something, and use it as a first draft where I then make it work
I’ve had success with:
- dumping email threads into it to generate user stories,
- generating requirements documentation templates so that everyone has to fill out the exact details needed to make the project a success
- generating quick one-off scripts
- suggesting a consistent way to refactor a block of code (I’m not crazy enough to let it actually do all the refactoring)
- summarize the work done for a slide deck and generate appropriate infographics
Essentially, all the stuff that I’d need to review anyway, but use of AI means that actually generating the content can be done in a consistent manner that I don’t have to think about. I don’t let it create anything, just transform things in blocks that I can quickly review for correctness and appropriateness. Kind of like getting a junior programmer to do something for me.
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Experienced software developer, here. "AI" is useful to me in some contexts. Specifically when I want to scaffold out a completely new application (so I'm not worried about clobbering existing code) and I don't want to do it by hand, it saves me time.
And... that's about it. It sucks at code review, and will break shit in your repo if you let it.
On that last note, important thing they left out here being general news reporting tech stuff is that this was specifically bug fixing tasks. It can typically only provide the broadest of advice on that, and it’s largely incapable of tackling problems holistically when you often need to be thinking big picture while tackling a bug.
Interesting that the AI devs thought they were being quicker though.
Not a developer per se (mostly virtualization, architecture, and hardware) but AI can get me to 80-90% of a script in no time. The last 10% takes a while but that was going to take a while regardless. So the time savings on that first 90% is awesome. Although it does send me down a really bad path at times. Being experienced enough to know that is very helpful in that I just start over.
In my opinion AI shouldn’t replace coders but it can definitely enhance them if used properly. It’s a tool like everything. I can put a screw in with a hammer but I probably shouldn’t.
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no shit. ai will hallucinate shit I’ll hit tab by accident and spend time undoing that or it’ll hijack tab on new lines inconsistently
Fun how the article concludes that AI tools are still good anyway, actually.
This AI hype is a sickness
LLMs are very good In the correct context, forcing people to use them for things they are already great at is not the correct context.
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Writing code is the easiest part of my job. Why are you taking that away?
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I study AI, and have developed plenty of software. LLMs are great for using unfamiliar libraries (with the docs open to validate), getting outlines of projects, and bouncing ideas for strategies. They aren't detail oriented enough to write full applications or complicated scripts. In general, I like to think of an LLM as a junior developer to my senior developer. I will give it small, atomized tasks, and I'll give its output a once over to check it with an eye to the details of implementation. It's nice to get the boilerplate out of the way quickly.
Don't get me wrong, LLMs are a huge advancement and unbelievably awesome for what they are. I think that they are one of the most important AI breakthroughs in the past five to ten years. But the AI hype train is misusing them, not understanding their capabilities and limitations, and casting their own wishes and desires onto a pile of linear algebra. Too often a tool (which is one of many) is being conflated with the one and only solution--a silver bullet--and it's not.
This leads to my biggest fear for the AI field of Computer Science: reality won't live up to the hype. When this inevitably happens, companies, CEOs, and normal people will sour on the entire field (which is already happening to some extent among workers). Even good uses of LLMs and other AI/ML use cases will be stopped and real academic research drying up.
My fear for the software industry is that we'll end up replacing junior devs with AI assistance, and then in a decade or two, we'll see a lack of mid-level and senior devs, because they never had a chance to enter the industry.
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Code reviews take up a lot of time, and if I know a lot of code in a review is AI generated I feel like I'm obliged to go through it with greater rigour, making it take up more time. LLM code is unaware of fundamental things such as quirks due to tech debt and existing conventions. It's not great.
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