Hey fellow programmers, I wanted to share a little experiment I’ve been
conducting lately that has significantly improved my workflow. I’ve started
using AI to generate my Git commit messages, and it’s been a game-changer! By
feeding all the changes I’ve made into a language model with a large context
window (LLM), the AI not only generates a concise commit title but also provides
bullet points describing each of the changes in precise detail. The level of
detail and informativeness it brings to my commit messages is incredible. I used
to spend a considerable amount of time crafting commit messages that accurately
captured the essence of the changes I made. Now, with the help of AI, I find
myself copy-pasting its generated messages most of the time. It’s not just a
time-saver; it also ensures that my commits are well-documented and easy to
understand for my team members. If you haven’t explored using AI for your Git
commits, I highly recommend giving it a try. It can significantly boost your
productivity and help you maintain clean and informative version control
history. Plus, it’s a fascinating intersection of AI and software development!
Have you experimented with similar AI-powered tools for your programming tasks?
I’d love to hear your experiences and any recommendations you might have. Let’s
discuss the future of AI in programming in the comments!
It writes more informative commits than I could ever make so I’m just reading what it says and mostly copy/pasting completely most of the time, I write all of the changes I’ve made into an LLM with a large context window and it write a very detailed commit not just with a title but with bullet points describing each of the changes precisely
y’all need to speak for your own companies. obviously some companies will not allow it, and I’d be personally skeptical of allowing it if I ran a company - but I also work at a place that effectively has given a quiet go-ahead to use it, with objectively talented engineers regularly making use of LLMs for boilerplate and other aspects of work.
obviously, there’s some calculus on when to use it, and you better damn inspect your outputs, but treating as a blanket rule that OP is a terrible employee at their company when you don’t know the company is rude as hell and uncalled for.
I think a lot of people in this thread are just upset/projecting because this is the first real hint that they’re not as much of a special-boy-programmer as they think. OP’s use case is fairly limited in scope, using the LLM for something it is actually pretty good for, and never implied he doesn’t check the output. They’ll never admit it, and will deflect, but they’re just worried.
so it reads proprietary code?
I don’t think that Lead and Projectmanager will love to hear that. At all.
y’all need to speak for your own companies. obviously some companies will not allow it, and I’d be personally skeptical of allowing it if I ran a company - but I also work at a place that effectively has given a quiet go-ahead to use it, with objectively talented engineers regularly making use of LLMs for boilerplate and other aspects of work.
obviously, there’s some calculus on when to use it, and you better damn inspect your outputs, but treating as a blanket rule that OP is a terrible employee at their company when you don’t know the company is rude as hell and uncalled for.
I think a lot of people in this thread are just upset/projecting because this is the first real hint that they’re not as much of a special-boy-programmer as they think. OP’s use case is fairly limited in scope, using the LLM for something it is actually pretty good for, and never implied he doesn’t check the output. They’ll never admit it, and will deflect, but they’re just worried.
I mean, if it’s self-hosted it’s probably fine