Code Completion with Statistical Language Models: https://www.cs.technion.ac.il/~yahave/papers/pldi14-statistical.pdf
This amazing paper trains a language model on a Java corpus, then builds a code completion tool that can write whole snippets of code!
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Over a sufficiently long time horizon, all code you write is legacy code.
I'm intrigued to see that Google has quantified that new code is generally buggier and less secure than code that has existed in your codebase for longer: https://security.googleblog.com/2024/09/eliminating-memory-safety-vulnerabilities-Android.html
It's really satisfying to use a profiler for the first time on a project. I always find a big performance win with only a small code change.
It's never the code that I expected to be slow, however!