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!
Can you give some examples of the output you’re getting?
Seconded. And you’re okay with giving it all your code…?
I’ve been thinking of doing this myself. I’m honestly surprised that GitHub’s Copilot doesn’t offer such a feature. I really wanted it to have this.
I’ve considered writing my own tool (or maybe a vscode extension?) using a self-hosted ollama instance with CodeLlama or Mistral as the model.
The JetBrains AI has this feature integrated into all their IDEs and it’s honestly the AI feature I use most. Not having to tax myself to come up with useful, readable messages is so nice.