My primary use of AI is for programming and debugging. It’s a great way to get boilerplate code blocks, bootstrap scripts, one-liner shell commands, creating regular expressions etc. More often than not, I’ve also learned new things because it ends up using something new that I didn’t know about, or approaches I didn’t know were possible.
I also find it’s a good tool to learn about new things or topics. It’s very flexible in giving you a high level summary, and then digging deeper into the specifics of something that might interest you. Summarizing articles, and long posts is also helpful.
Of course, it’s not always accurate, and it doesn’t always work. But for me, it works more often than not and I find that valuable.
Like every technology, it will follow the Gartner Hype Cycle. We are definitely in the times of “everything-AI” or AI for everything - but I’m sure things will calm down and people will find it valuable for a number of specific things.
My primary use of AI is for programming and debugging. It’s a great way to get boilerplate code blocks, bootstrap scripts, one-liner shell commands, creating regular expressions etc. More often than not, I’ve also learned new things because it ends up using something new that I didn’t know about, or approaches I didn’t know were possible.
I also find it’s a good tool to learn about new things or topics. It’s very flexible in giving you a high level summary, and then digging deeper into the specifics of something that might interest you. Summarizing articles, and long posts is also helpful.
Of course, it’s not always accurate, and it doesn’t always work. But for me, it works more often than not and I find that valuable.
Like every technology, it will follow the Gartner Hype Cycle. We are definitely in the times of “everything-AI” or AI for everything - but I’m sure things will calm down and people will find it valuable for a number of specific things.