Recent content by wizardethan

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

The point about troubleshooting and off is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. If you share the exact setup, it would be easier to narrow down which part matters most.

When working with C++, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...