Would you mind sharing what the project is, and which AI you are using? No sign so far of AI's usefulness slowing down as the complexity increases?
>Would you mind sharing what the project is
rust + wasm simulation of organisms in an ecosystem, with evolving neural networks and genes. super fun to build and watch.
>which AI you are using?
using chatgpt/claude/gemini with a custom tool i built similar to aider / claude code, except it's very interactive, like chatting with the AI as it suggests changes that I approve/decline.
>No sign so far of AI's usefulness slowing down as the complexity increases?
The AI is not perfect, there are some cases where it is unable so solve a challenging issue and i must help it solve the issue. this usually happens for big sweeping changes that touch all over the codebase. It introduces bugs, but it can also debug them easily, especially with the increased compile-time checking in rust. runtime bugs are harder, because i have to tell the ai the behavior i observe. iterating on UI design is clumsy and it's often faster for me to just iterate by making changes myself instead.
Thanks - sounds like a fun project!
Given that you've built your own coding tool, I assume this is as much about testing what AI can do as it is about the project itself? Is it a clear win as far as productivity goes?
I'm most interested in building cool projects, and I have found AI to be a major multiplier to that effort. One of those cool projects was a custom coding tool, which I now use with all my projects, and continue to polish as I use it.
As far as productivity, it's hard for me to quantify, but most of these projects would not be feasible for me to pursue with my limited free time without the force multiplier of AI.
No one links their ai code, you noticed?