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A practical understanding of AI Coding Assistants starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time so...

I wanted to start a broader ideas worth trying thread around Natural Language Processing. A useful angle is troubleshooting, but it also connects with limitations. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...