Comment by lelanthran
3 days ago
> You have to experience it yourself on your own real problems and over the course of days or weeks.
How do you stop it from over-engineering everything?
3 days ago
> You have to experience it yourself on your own real problems and over the course of days or weeks.
How do you stop it from over-engineering everything?
This has always been my problem whether it's Gemini, openai or Claude. Unless you hand-hold it to an extreme degree, it is going to build a mountain next to a molehill.
It may end up working, but the thing is going to convolute apis and abstractions and mix patterns basically everywhere
Not in my experience - you need to build the fact that you don’t want it to do that into your design and specification.
Sure, I can tell it not to do that, but it doesn't know what that is. It's a je ne sais quoi.
I can't teach it taste.
1 reply →
It's very good at following instructions. You can build dedicated agents for different tasks (backend, API design, database design) and make it follow design and coding patterns.
It's verbose by default but a few hours of custom instructions and you can make it code just like anyone
> just like anyone
Arthur Whitney?
https://en.wikipedia.org/wiki/Arthur_Whitney_(computer_scien...
Difficult and it really depends on the complexity. I definitely work in a spec-driven way, with a step-by-step implementation phase. If it goes the wrong way I prefer to rewrite the spec and throw away the code.
I have it propose several approaches, pick and choose from each, and remove what I don't want done. "Use the general structure of A, but use the validation structure of D. Using a view translation layer is too much, just rely on FastAPI/SQLModel's implicit view conversion."
The Plan mode already does this, it makes multiple plans and then synthesises them
“Everything Should Be Made as Simple as Possible, But Not Simpler” should be the ending of every prompt :)
Instructions, in the system prompt for not doing that
Once more people realize how easy it is to customize and personalized your agent, I hope they will move beyond what cookie cutter Big AI like Anthropic and Google give you.
I suspect most won't though because (1) it means you have to write human language, communication, and this weird form of persuasion, (2) ai is gonna make a bunch of them lazy and big AI sold them on magic solutions that require no effort on your part (not true, there is a lot of customizing and it has huge dividends)
I personally try to narrow scope as much as possible to prevent this. If a human hands me a PR that is not digestible size-wise and content-wise (to me), I am not reviewing and merging it. Same thing with what claude generates with my guidance.