I wanted to start a broader workflow comparison thread around AI Game Programming.
A useful angle is getting started, but it also connects with cost control. 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 getting started, but it also connects with cost control. 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.