I wish people gushing on ML code generation would familiarize themselves with SW development history bit more. For example the introduction of SEQUEL (predecess

I wish people gushing on ML code generation would familiarize themselves with SW development history bit more. For example the introduction of SEQUEL (predecessor of SQL) paper is worth reading, its just few pages: https://web.archive.org/web/20070926212100/http://www.almaden.ibm.com/cs/people/chamberlin/sequel-1974.pdf https://web.archive.org/web/20070926212100/http://www.almade... Key quote: > Much of the success of the computer industry depends on developing a class of users other than trained computer specialists I believe COBOL had similar aspirations to be language for non-professional developers. One of the first high-level languages were called autocodes because they automated code generation. Sound familiar? The difference between compiler and ML model is not that great from high level. Both take human-readable(/writable) input and produce machine-executable code in the end. Huge amounts of SW engineering has been already automated and delegated. Consider how much effort setting up a CRUD application would be if you were writing machine code on bare metal system compared to writing high-level language and leveraging stuff like Linux and PostgreSQL.