I had been planning to, but being lazy about trying to enable my IDE setup but was giving it the benefit of the doubt. Your feedback resonates with how much I end up fighting auto-complete/auto-correct in normal language and seeing it potentially ruin current code completion (which sometimes I have to fight, but on balance it helps more than it annoys). I suppose I’ll still give it a shot, but with even more skepticism. I suppose maybe it can at least provide an OK draft of API documentation… Maybe sometimes…
On the ‘vibe coding’, on the cases I’ve seen detailed, it seems they do something that, to them, is a magical outcome from technologies that intimidated them. However, it’s generally pretty entry level stuff for those familiar with the tools of the trade, things you can find already done dozens of time on github almost verbatim, with very light bespoke customization. Of course there is a market for this, think of all the ‘no code’/‘low code’ things striving to make approachable very basic apps that just end up worse than learning to code. As a project manager struggles to make a dashboard out of that sort of sensibility, a dashboard that really has no business being custom but tooling has fostered the concept that everyone has a snowflake dashboard, it’s a pain. But maybe AI can help them generate their dashboard. Of course, to be a human subjected to the workflows those PMs dream up is a nightmare. Bad enough already at my work there are hundreds of custom issue fields, a dozen issue types, and 50 issue states with maddening project to project unique workflows to connect the meaning of all this, don’t like AI emboldening people to customize further.
The thing about ‘vibe coding’ is when they get stuck and they get confused/frustrated about why the LLM stopped getting them what they want. One story was someone vibe coding up a racing game. He likely marveled as his vision materialized. From typing prose without understanding how to code he got some sort of 3D game with cars and tracks and controls. This struck him as incredibly difficult otherwise, but reachable through ‘vibe coding’. Then he wanted to add tire marks when the player did something, maybe on a hard turn) and it utterly couldn’t do it. After all the super hard stuff, why could the LLM not do this conceptually much simpler thing? Ultimately spitting out that the person needed to develop the logic himself (claiming it was refraining to do it because it would be better for him to learn, but I’m wagering that’s the generated text after repeated attempts to generate code that the LLM just could not do).
olympicyes@lemmy.world 19 hours ago
I find chat gpt to be useful for deciphering error messages, generally noticing things I missed. It’s also helpful for boilerplate code, essentially a customized form of stack overflow. Beyond that it really has trouble knowing what it’s doing. I can’t imagine trusting it for completing a large project. Helpful for minor optimizations though.