Recent content by mattmaker8

When working with Full-Stack AI Development, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a...

The point about flux and quality 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 Python, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...