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I wanted to start a broader tool comparison thread around C++. A useful angle is cost control, but it also connects with best workflow. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...

For Learning AI — what is changing around mistakes and lessons?, I would separate the problem into setup, output quality and repeatability. learning and lessons fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the...

For Microsoft Copilot, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...