Better documentation, more test cases, and an NLP interface to query the code
Less cognitive load, more complete mental models
>even bad developers can do that many times compared to better ones, because for example they mindlessly copy-paste StackOverflow answers whose half of the code is absolutely not necessary
Maybe LLMs, much like StackOverflow, make good devs better and bad devs worse
Like a force multiplier for good practices and bad practices
The exact people who said to me that I’m using LLMs wrongly, and showed their code, showed me bad code. So let’s say, that “more documentation, which is unnecessary most time, ie noise, more test cases, which test not necessarily what they should, and an NLP interface which lies from time-to-time”, and we agree. LLM generated code is noisy as hell, for no good reason. Maybe, it’s good for you, and your type of work. I need to provide way better code than that. I don’t know why we pretend that “good code”, “good documentation”, “good tests” etc are the same for everybody.
>LLM generated code is noisy as hell, for no good reason
You can direct it to generate code/docs in whatever format or structure you want, prioritising the good practices and avoiding bad practices, and then manually edit as needed
For example with documentation I direct it to:
*Goal:* Any code you generate must lower cognitive load and be backed by accurate, minimal, and maintainable documentation
Not in my experience
Better documentation, more test cases, and an NLP interface to query the code
Less cognitive load, more complete mental models
>even bad developers can do that many times compared to better ones, because for example they mindlessly copy-paste StackOverflow answers whose half of the code is absolutely not necessary
Maybe LLMs, much like StackOverflow, make good devs better and bad devs worse
Like a force multiplier for good practices and bad practices