Comments by "k98killer" (@k98killer) on "Continuous Delivery" channel.

  1. It's a bit different when implementing things you find in computer science or cryptography papers. I could just leave all the calls to elliptic curve innards completely undocumented and just hope that whoever is using my library opens up the source code to figure out how an op in the virtual machibe functions, but that would be stupid. There are definitely cases for which good documentation is crucial, and the more complex or difficult the task, the more important that documentation becomes.
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  2. Copilot is good at filling out mindless boilerplate, which is a significant amount of "enterprise" code in Java specifically. For Python, I have found Cursor to be helpful for refactoring or generating sample code to play around with new libraries.
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  3. Readability and computational/memory efficiency are at odds in some specific scenarios, e.g. micropython executing on a microcontroller. A lot of programming is balancing trade-offs and making the right compromises.
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  4. What are y'all's favorite dysfunctional programming languages?
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