Not a bad context window, but makes me wonder how embedded code models would pick that context when dealing with a codebase larger than 100K tokens.
And this makes me further wonder if, when coding with such a tool (or at least a knowledge that they’re becoming more widely used and leaned on), are there some new considerations that we should be applying (or at least starting to think about) when programming? Perhaps having more or fewer comments, perhaps more terse and less readable code that would consume fewer tokens, perhaps different file structures, or even more deliberate naming conventions (like Hungarian notation but for code models) to facilitate searching or token pattern matching of some kind. Ultimately, in what ways could (or should) we adapt to make the most of these tools?