OP might be implying that from now on many engineers will use AI tools to write the first draft of their code so it’s smart to hire people skilled at correcting AI-generated code.
I fail to see how ChatGPT would be useful for capable engineers. Is boilerplate code actually a time suck for anyone?
const ts = require("typescript");
const options = {
target: ts.ScriptTarget.ES2017,
module: ts.ModuleKind.CommonJS,
};
const someJavaScriptCode = ts.transpileModule(someTypeScriptCode, { compilerOptions: options });
console.log(someJavaScriptCode.outputText);
That saved me a good five minutes with minimal disruption to my flow. Those little things add up to a significant amount of time and energy. I have two young children, ages 1 and 4, and these tools make it possible for me to program in little 10 minutes bursts between basically endless cooking and cleaning chores.
I actually take offense to the notion that you would consider people who find these tools useful to be incapable engineers.
I apologize for offending you. I can't imagine parsing code for errors being faster than typing it out. I suppose I assumed most have boilerplate memorized. I'll try to avoid being so presumptuous in the future.
I will say that you seem to be operating under the assumption that these tools are less reliable at producing the correct code than they really are!
Ironically, the latest GPT-3 models trained before OpenAI made changes to their API resulting in basically useless assistance for things like the openai npm library!
Its output is generic. Leverage is not found in convention. For that reason, I find it useless.
Plus, I typically retain my codebase. For exploratory coding, I could see some utility.
So a tool that helps me make tools is a lever.
But a tool that helps you make code is not a lever, because “good code” is your goal.
This explains it perfectly! Thank you!
Original thought is my goal.
Otherwise, I think you're spot on. To each their own as they say!