Chuck Norris did not die. He was just sick of death being too afraid to come for him, so he went to meet it. I just wonder... what if he killed it?

And it sounds so knowledgeable and authoritative in its replies. And i like being told "great idea"... OK, that is a joke i don't like it that much coming from a mindless agent. But in the dialog it becomes so convincing that i struggle not to anthropomorphize it. Remember "Her" with Joaquin Phoenix? i wont fall in love with it but i might entrust it with my root passwords?

OK, not scary at all. What kind of tasks do they tackle? I would love i if they could scare my mother by making Max Headroom appear on her TV screen in the middle of her novela.

keeping context is a thing that they are bad at. For now, i admit, but they are.

Given a long haul goal with instructions and everything they will reinvent the wheel four times and one of those you will get a square. Reminds me of that monkey paw wish thing. You look at your finished app. Looks beautiful, but its inner workings are a ball of confusion.

I don't use ChatGPT, but i've been using an agent with Claude Sonnet 4. My answer may not be useful to you, but i'll talk about my experience with that and hope it may help you.

So this AI Agent... It is much faster at doing code when given specific instructions. But it keeps loosing context on architecture, and i cant really let it build complex things with interdependencies that build on each other. At times it feels like doing pair programming with a guy who is so crazy fast that im left behind with my head spinning, wondering how we just jumped from a hello world to a working thing that would have taken me ten iterations. And i get a bad feel when i then wonder how is this app doing what it does? because my agent cant explain it, and i would be stupid to believe what it hallucinated because it sounds really solid until you scratch the construction.

At the beginning i was almost euphoric about my new friend, now im sometimes disappointed, sometimes confused, but i am learning to give better, more concise instructions, to do smaller development jumps. It is tempting to set a long haul goal and let it do. But, i think for now, even if it is much faster at the small things, it would be also faster to build a catastrophic spaghetti code nightmare if not used with great care.

> I don't use ChatGPT, but i've been using an agent with Claude Sonnet 4.

Are you using Sonnet 4.6?

> So this AI Agent... It is much faster at doing code when given specific instructions. But it keeps loosing context on architecture, and i cant really let it build complex things with interdependencies that build on each other.

I've only built small things (< 1000 lines) with the systems, so I might be missing this problem.

Is it better than you at building small self-contained things?

> And i get a bad feel when i then wonder how is this app doing what it does? because my agent cant explain it, and i would be stupid to believe what it hallucinated because it sounds really solid until you scratch the construction.

Do you ask it to generate test suites for the things that it builds?

> it would be also faster to build a catastrophic spaghetti code nightmare if not used with great care.

noted

i started working with this two weeks ago, so im learning as i go (or should i say stumble and fall). Weird as it may sound what i found so trustworthy at the beginning, it sounded so rational and logic as it really knew better and i liked letting it do. Obviously it dis not go so well, and i had to correct a lot. But i am learning, what can i say? And yes, i gave it many commandements like "thouh shalt always test before releasing" and it sounded so convincing when it confirmed what an excellent idea that was that i was surprised at least -imagine that- when something did not go as planned on prod because of , well you know...

Did you tell it that it should test, or did you have it generate actual tests that you could run if you wanted to?

OK, here's an update: i uploaded the dataset is on HuggingFace — 51k labeled headlines across 35 assets (commodities, FX, indices, crypto), with asset-specific inversion context. Source column separates human from AI labels. huggingface.co/datasets/polibert/swik-sentiment-labels (http://huggingface.co/datasets/polibert/swik-sentiment-label...)

Happy to answer questions about the catalog methodology or the inference approach. Also i implemented automated inversion hypothesis as a mechanism to confirm or reject.

Enjoyers of journey vs enjoyers of destination! What a brilliant idea. I realize i enjoy the destination. And i await impatiently to finish the journey to enjoy that place that was in my minds eye all along during the journey. i like developing with my agent because it brings me there incredibly fast.

I must agree on this. And it opened my eyes. I realize that I enjoy the destination more than the journey. I'm impacient, and have that destination in my minds eye all the time and my Ai agent is getting me there at a crazy pace.

Enjoyers of journey vs Enjoyers of journey destination! you gave me something to think about.

I'm loving the experience and i also realize that this part of me, the one which could write code is obsolete. Completely. Utterly obsolete. OK, so first i need to admit that i am not the best programmer, but i've been at it for 27 years.

These past months I've been working with two agents developing two things practically in parallel. And i've experienced the fastest, most motivating development sessions i ever had. Together with these two agents i was able to build two very complex systems that use all sorts of data gathering, then ETL into a format that can be queried and maintained, and it all ends up in some awesome web UIs. I used Them not only to write code, but to do the design and architecture, discussed the front end, the business reqs.

And what i can say, is that it felt like a conversation with a crazy fast person who did everything i needed in seconds. AS a tech guy i know what i want and i know how to describe it. That helped A LOT! I know when we lost context and yes, there were stupid consequences that we had to fix. But my impression is that many of these things i see criticized here refer to the people using it, less than to the AI and its output. From my point of view, the output is what i wanted, only 250x faster than i ever expected. And for the critiques targeting the AIs, after this i am sure that they will learn to fill in all those gaps. We will not be criticizing then. By then my only possible job will be to translate somebody's business reqs for an agent to implement as i speak.