An interesting thought: historically, a major consideration for companies choosing what to use is how many engineers use it (because that will make hiring much easier/harder). Going forward, this becomes "how big of a corpus of this code is out there", because it impacts how proficient are likely to be at using it.
Any conversation
This guide has really worked out for me after trying so many different methods - berbarianwizard.substack.com/โฆ/beyond-calories-fat-loss-guide
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
I remain ambiguous. This morning I used pi+gpt5.6 to create a color scheme based on evergarden.moe. It works, and I havenโt checked how well it stay true to the style used in vim-bundled schemas. Before I wouldnโt have done this, and now I can. But I donโt know if it is good. github.com/โฆ/evergarden.vim


