I'm actually quite bearish on AI in the generative space, but even I have to admit that writing boilerplate is "N" times faster using AI (use your favorite N). I hate when people claim this without any proof, so literally today this is what I asked ChatGPT: write a stub for a react context based on this section (which will function as a modal): ``` // a bunch of stuff ``` Worked great, it created a few files (the hoo…
For this case, i will probably lift off the example from the library docs. Or spend 5 minutes writing a bare implementation as it would be all I need at the time. That’s an issue I have with generated code. More often, I start with a basic design that evolves based on the project needs. It’s an iterative process that can span the whole timeline. But with generated code, it’s a whole solution that fits the current nee…
Both of these would take longer than 5 minutes. There's also no "lifting" as this case involves both Provider and Context, so you'd have to combine React doc examples.
The only alternative would be knowing it by heart, which you might, but I don't (nor do I particularly care to). There's definitely a force multiplier here, even if just in the boring boilerplate cases.