I wanted to start a broader productivity ideas thread around AI Game Programming.
A useful angle is privacy considerations, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Game Programming is genuinely useful and where it still needs improvement.
A useful angle is privacy considerations, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Game Programming is genuinely useful and where it still needs improvement.