I wanted to start a broader mistakes and lessons thread around General AI Coding.
A useful angle is quality versus speed, but it also connects with beginner tips. 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 General AI Coding is genuinely useful and where it still needs improvement.
A useful angle is quality versus speed, but it also connects with beginner tips. 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 General AI Coding is genuinely useful and where it still needs improvement.