It'd be a really interesting project to data-mine a large number of IDEs at a company like google. Use machine learning to predict fixes to lint/compile errors,

It'd be a really interesting project to data-mine a large number of IDEs at a company like google. Use machine learning to predict fixes to lint/compile errors, and surface those suggestions in the IDE. Would also be fun to do it with code reviews to see what kind of garbage suggestions you can generate there. Probably a lot of "I don't understand what this does" and "please write tests for this." Would also be cool for auto-complete suggestions. I'm thinking more along the lines of extracting larger patterns than for loops, such as stubbing out classes that follow a projects existing style. For example, adding an auth check at the start of a web request handler if that's what it sees elsewhere.