Gemini is also good, I recommend you try it as well. Usually my workflow is GPT-5 as the primary, but yes, as you mentioned it is not perfect. But Gemini surprisingly compliments GPT-5 for my use cases atleast. It's good at LiveView related stuff, whereas GPT-5 is more of architecting side.
Both LLMs suck if you let it do everything without architecting the solution first. So, I always instruct the high level architecture of how I want something, specifically around how the data should flow and be consumed and what I really want to avoid. With these constraints and bit of some prompt engineering, they are actually quite good.
> Both LLMs suck if you let it do everything without architecting the solution first.
I always do that. Last time I spent an hour planning, going through the requirements, having it ask questions, only for it to completely botch the implementation.
Sure, I can treat it like a junior and spend 2-3 hours planning everything down to the individual function level and it's going to implement it alright. The code will work but it won't be idiomatic. Or I can just do it myself in 3 hours total to a much higher standard of quality, without gambling on a successful outcome, while simultaneously improving my own knowledge, understanding, and abilities.
No matter how I try to use them, agentic coding is always a net negative on my productivity (disposable one-off scripts excluded).
Both LLMs suck if you let it do everything without architecting the solution first. So, I always instruct the high level architecture of how I want something, specifically around how the data should flow and be consumed and what I really want to avoid. With these constraints and bit of some prompt engineering, they are actually quite good.