I wanted to start a broader future possibilities thread around General AI Coding.
A useful angle is cost control, but it also connects with deployment. 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.
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A useful angle is cost control, but it also connects with deployment. 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.
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