A small portion of my regular and freelance work is translating things from a database to something an application can use. A perfect example of this is creati

A small portion of my regular and freelance work is translating things from a database to something an application can use. A perfect example of this is creating a model in MVC architecture from a database table/stored procedure/function. I used to have a note or existing code I would have to copy and paste and then modify each and every property one at a time, to include the data types. Not hard stuff at all, but very tedious and required a certain amount of attention. This would have taken me maybe 5 to 20 minutes in the perfect scenario, minus any typos in datatypes, names of properties, etc. Now I'll do something like this for a table, grabbing the column names and data types: SELECT COLUMN_NAME, DATA_TYPE, CHARACTER_MAXIMUM_LENGTH, NUMERIC_PRECISION, NUMERIC_SCALE FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = 'Table Name Goes Here' ORDER BY COLUMN_NAME; Then I'll ask my custom GPT to make me a model from the SQL output for my application. I do a quick spot check on the new class and done - the code is completed without any typos in much less time. This kind of stuff goes into production on a regular basis, and I feel about as guilty as I did in 10th grade using a TI-89 for matrix operations, which is zero.