When you are working with semi-structured data, there is a real difference between a key that is missing and a key that exists with a JSON null value.
If you are firing off tiny batch loads all day, there is a good chance you built Snowpipe the hard way.
If COPY INTO fails, the goal is not to guess better. The goal is to make Snowflake tell you exactly where the problem is.
That can make a weak optimization look brilliant and a benchmarking process look far more scientific than it really is.
What matters early is whether the tool simply answers the prompt or actually helps you think better from there.
Cortex Code matters because it lowers the barrier between business questions and real analytical action inside Snowflake.
A lot of AI data tools look impressive right up until you ask them to do something that resembles real work. That is where Snowflake Cortex Code starts to get more interesting.