This content originally appeared on DEV Community and was authored by Elfreda
Hey everyone, let’s talk about an interesting phenomenon:
I’ve noticed quite a few programmers around me seem resistant to using AI coding assistants (like Cursor).
I’ve asked a few of them, and their reasons are generally something like:
“The generated code is often junk; it takes too long to fix, so I’d rather code it myself.”
“If I keep relying on it, I’m worried about losing my coding skills.”
“The prompts are confusing, and it’s just easier to look it up on Stack Overflow.”
“Sometimes the model is helpful, but other times it’s totally off—it’s inconsistent.” 
I can relate to this point.
But recently, I tried a tool called ChatGOT (fun name, right?), and it seems to address several of my pain points:
Multiple Models: I can switch between different models like GPT-4o, DeepSeek, and Gemini. I can see which one performs best on the same question, which improves code quality a lot. I don’t have to worry about one model suddenly going offline.
Custom AI Bots: I can create an AI assistant tailored to my coding style! By feeding it my project standards, libraries, and naming conventions, the generated code aligns closely with my preferences, which means fewer major changes. No more long prompts every time I write.
Bonus: I can upload requirement documents, and it can quickly summarize or generate a presentation (AI Slides)—great for last-minute meeting prep.
So I’m really curious to hear your thoughts:
What’s your biggest reason for resisting AI?
Is it because you find it inconvenient, or are you worried about being replaced?
Would concepts like ChatGOT’s customizable assistant and multiple models convince you to use AI? Or do you still believe AI-generated code just isn’t good enough?
Just genuinely curious and looking to exchange thoughts!
This content originally appeared on DEV Community and was authored by Elfreda