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You may think it did a good job because of your limited CSS ability. I'd be amazed if ChatGPT can create pixel-perfect animations and transitions along with reusable clean CSS code which supports all of the browser requirements at your org.

I've seen the similar claims made on Twitter by people with zero programming ability claiming they've used ChatGPT to build an app. Although 99% of the time what they've actually created is some basic boilerplate react app.

> middling generalists can now compete with specialists.

Middling generalists can now compete with individuals with a basic understanding assuming they don't need to verify anything that they've produced.




>I'd be amazed if ChatGPT can create pixel-perfect animations and transitions along with reusable clean CSS code which supports all of the browser requirements at your org.

Personally, I'd be more amazed if a person could do that than if a LLM could do it.


Google, "UI developer".


It does great at boilerplate, so I think it's safe to say it will disrupt Java.

I've been using tabnine for years now, and I use chatGPT the same way; write my boilerplate, let me think about logic.


Here’s the thing though:

If a new version of the app can be generated on the fly in minutes, why would we need to worry about reusability?

GPT generated software can be disposable.

Why even check the source code in to git - the original source artifact is the prompt after all.


Let me know how you get on with a disposable financial system, safety system or electoral voting system.


I work with java and do a lot of integration, but a looot of my effort goes into exploring and hacking away some limitations of a test system, and doing myself things that would take a lot of time if I had to ask the proper admins.

I had a problem where I was mocking a test system (for performance testing of my app) and I realized the mocked system was doing an externalUserId to internalUserId mapping.

Usually that would have been a game stopper, but instead I did a slow run, asked Chat GPT to write code that reads data from a topic and eventually create a CSV of 50k user mappings; it would have taken me at least half a day to do that, and Chat GPT allowed me to do it in 15 minutes.

While very little code went into my app, Chat GPT did write a lot of disposable code that did help me a lot.


Because in my experience GPT can produce a maximum of like 200 lines of code before it makes an error usually.




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