One of the under-appreciated benefits of using LLMs for coding is that they are experts on most topics.
Writing Trakaido would have been impossible if the LLM did not already have familiarity with Lithuanian. 💡 It was also familiar with dozens of other languages.
Languages are a strong point for large language models, but there are many other software projects that can benefit from having domain experts available to all developers at all times at a minimal cost.
This applies to non-coding projects as well. Trying to use LLMs to help file my taxes was ... still a bit optimistic in early 2026 🌎 there were several mistakes it made. But it generally understood what was going on. Without context.
💡 I have discussed before the question of context v. built-in training data. Should the machine be able to play chess without instructions (or external tools)? What about backgammon? Or a game I just made up? Is there any reason to believe/expect the universal game-playing machine will be a Large Language Model?