Recent content by zone_freya

A useful way to understand MCP is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is data quality. 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...

One thing worth trying with AI tutorial: how to improve privacy considerations with AI Coding Assistants is a controlled comparison around step and privacy. Use the same input for each test and note what changes in the output rather than judging from a single run. That way you can improve the...

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