📎 links:
Okay, so to be honest, at first, I didn’t understand all the ❌negativity, but I shared this with a friend to get her take on the issue, and she 🕵️♀️clued me into the fact that webpack already does this with copilot and pull requests, and the results . . . speak for themselves.
Wow😅. I didn’t think it would be that bad. It seems that every example I find is just incorrect. I’ll look at the code. It will be a two line change, but the summary will be difficult to follow and often says things that are not part of the code changes. Then, there are also contradictions which make the pull requests harder to follow than if you just read the code with no other context. Darn it. I really thought this was a 🧊cool idea.
I’m definitely going to be sticking to writing my own commits as always.
IMHO, the provided link is largely irrelevant to this topic. It is about lawyers who used ChatGPT as a search engine https://youtu.be/oqSYljRYDEM?t=1436, which is not what it is for, and it will tell you that over and over again. The lawyers in question were not even “trusting ChatGPT”. They blatantly and actively disregarded ChatGPT telling them that it was not a search engine and could not provide legal advice https://youtu.be/oqSYljRYDEM?t=1466
This topic is about using LLMs to generate natural language describing code changes that it is provided with which is not only completely different than using an LLM as a defacto search engine, but it is also something LLMs are actually meant to do: autocomplete. This topic is more akin to using LLMs to write title headings for legal documents which are already basically complete as is than it is akin to the link provided.
Well, if I remember my software engineering prof correctly, software engineering is mostly about bringing an engineering mindset to software development. You wouldn’t just slapdash an airplane together in a weekend and shove it out on the runway. There’s a process for making sure we don’t kill people with deadly flying contraptions.
Software engineering is that same idea applied to software systems. There is a process for making sure we do our job without causing undo harm. You wouldn’t want to just slapdash together something that has to be HIPAA compliant and has to meet other security regulations. You plan. You test. You revise. You ensure the product doesn’t publish the sensitive medical records of every patient on the front page before it ends up in production. That is the work of a software engineer.