Again and again, your code lacks the basics of engineering. Where is your package manager and requirements? Your code would never pass any test in a professional context. It's like you haven't went past a Python tutorial and feel the AI output is acceptable.
The docs are pictures, and what is a Pipfile in any context? It looks like a requirement file but you never bothered to follow the news about pip or uv.
Every AI project is like that and I'm really scared for the future of programming.
You can program just for fun, without having to make it a professional project. Just like you can do some woodworking without having the goal of becoming a professional carpenter.
Yes you can. Until managers and CEOs demand that you use those tools or you're fired. Whenever I sent such a bad project, I think of what may happen in the next 5 years and its dreadful. We're professionals after all.
And BTW it's already happening, it's not a fantasy.
What someone builds privately using AI has nothing to do with what expectations organizations decide to put on their employees. This isn't something that will make it into a professional context so who cares if it is in fact shit?!
Imagine a woodworking forum and someone being called out for showing off their little 6 piece tool box and someone saying how this doesn't adhere to residential building code and what this does for the profession of woodworkers...
Disposal8433, I am not unsympathetic to your point, but I think that bad managers and CEOs are bad managers and CEOs.
For instance at Boeing, the fault of software problems lies entirely on the managers: They made the decision to subcontract software engineering to a third party to cut cost, but also they didn't provide the contractor with enough context and support to do a good job. It's not subcontracting that was bad — because subcontracting can be the solution in some circumstances and with proper scoping and oversight — it was the management.
The MCP protocol is changing every few weeks, it doesn't make sense (to me at least) to professionalize a technical demo, and I appreciate that LLMs allow for faster iteration and exploration.
This really isn't dissimilar to any work I've seen in a professional setting, minus the screenshot docs. I agree those are bad. Everything useful is in the README.
`uv` is great but `pipenv` is a perfectly well-tested Python dependency manager (albeit slow). Down in the instructions it explicitly asks you to use `pipenv` to manage* dependencies. I also do not think your assertion of "what is a Pipfile in any context" is fair, as I don't think I've ever seen a project list a dependency manager and then explicitly call out artifacts that the dependency manager may require to function.
The docs are pictures, and what is a Pipfile in any context? It looks like a requirement file but you never bothered to follow the news about pip or uv.
Every AI project is like that and I'm really scared for the future of programming.