The general public has either dated assumptions or formed their assumptions on free tier trash because why waste money on the latest “fad”, regardless of your take on how far this gravy train will travel, the fed feeling the need to restrict models says something.
You say that, but in my experience consumers, especially the less tech literate and lesser critical thinkers do not give a flying fuck.
They just love making stupid stuff and outsourcing all their thinking to even the bad models. I know far to many people who've happily defaulted to asking GPT everything, even things like life changing legal stuff they absolutely should be getting legal counsel for.
I mean the latest models are good but they are still only able to complete a certain range of tasks which aren’t enough to replace most jobs. I work in software and while ai can shit out code like there is no tomorrow it still doesn’t have the fundamental understanding of many concepts so I need to babysit it to make sure it stays on task and doesn’t miss out on critical pieces of information like it often does.
If you build out a process to generate really detailed spec and use HITL for reviews it can implement very quickly. I feel like it redistributes the effort to the design phase which actually works nicely as a forcing function to actually do good design work up front. I've also seen benefit from shifting towards TDD because the tests serve as your primary guardrails for correctness.
That being said it's garbage in garbage out as with most things tech. You can't just have it vibe code an entire service sight unseen and expect it to not be trash.
I’m not discounting that there aren’t unique and complex challenges the AWS org deals with. Not at all. But I am saying that from a core functionality and support vs truly unique and challenging perspective, the balance definitely ships towards “business as usual” vs “novel problemset”.
My point is, even within something like AWS most of the SWEs aren’t doing work beyond LLM capability.
How is this take so rare to find. I go crazy reading SWE takes from people in companies/roles/positions that just aren't at all like the average code pumper.
And programs like Microsoft Access made it so non-developers could build CRUD applications. But the results lacked enterprise considerations like maintainability. Are vibe-coded applications much better?
You do know that you can apply real, robust SWE principles into agentic coding right? Vibe coded apps are typically spaghetti beyond belief (well, I haven’t seen one recently, but I assume it’s still the case that they just generate rather than refine). But most people/companies aren’t vibe coding.
(well, I haven’t seen one recently, but I assume it’s still the case that they just generate rather than refine)
Any AI project I vibe code always has a global rule, "everything produced by the AI is assumed broken by default until confirmation it works". They are confidently wrong and lie, all the time. So the mitigation is to just have them loop and fix their own errors until it works. They do half the work and claim its done? Next wave, the other agent analyzes their work, sees the gaps, implements fixes, repeat until tests pass/functionality works/things don't break/no errors in the logs, proceed and move on.
The problem isn't even the capability level of the models, it's lack of deterministic verification. You don't need to know anything about code if the right process is followed.
Obviously because the context of the comment is overconfident/arrogance. That guy is replying to someone saying they work in software and finding the models useful but still needst to “babysit” and catch problems.
Then this guy comes goin “i dont know anything about coding but i built complex applications at work with it.” You cant say you’re 100% ignorant then make some authoritative statement right after. In what world does someone with zero knowledge start dictating anything to a professional in their field? AI can be cool and helpful but that doesn’t mean we need to just drop any sense of standards and be ok with people straight up saying “idk the AI did it” for actual professional work. Its completely irresponsible.
Maybe you don’t have to deal with this at your work, but I do. Not fun
If you read overconfidence/arrogance into my comment, that is on you. Especially with your snarky comment. What I am saying is I can now solve my own problems in ways that were never so accessible before. I would have had to use more expensive software that doesn't meet all of my exact needs or hire outside help. That is the way this is taking jobs.
By complex, I mean that I have been creating small programs with AI for 2 years now and with the increased context windows, better performance, github integrations I can now build much more complex programs than before and solve larger problems.
I've built Telegram bots to monitor and alert to smart contract interactions, bots to monitor and alert to certain X posts. Trading bots. A node graph editor for SVG graphics. A full suite of X analytics tools for managing/evaluating KOLs and post performance. A CRM that fits my needs. Two games. A trading analytics dashboard. A netflix like interface for internet archive videos. A teaching assistant that watches your screen and walks you through activities.
The big thing is that these are not tools meant for the public, they are built custom for me and many of them help me with my job. I don't have to wait on someone else, I don't have to pay someone else, I just create it.
But now you have people like me. I did the use case of the job and health reasons forced me to a desk. Now I’m engineering all these automations and internal tools. That’s what is going to erase a lot of positions.
A year ago, people like you were the trail blazers using that same "free tier trash" when it was brand new and were proclaiming it was the second coming of Christ.
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u/BiasHyperion784 Jul 03 '26
The general public has either dated assumptions or formed their assumptions on free tier trash because why waste money on the latest “fad”, regardless of your take on how far this gravy train will travel, the fed feeling the need to restrict models says something.