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> For example, on a quick skim NanoClaw looks really interesting in that the core engine is ~4000 lines of code (fits into both my head and that of AI agents, so it feels manageable, auditable, flexible, etc.) and runs everything in containers by default. I also love their approach to configurability - it's not done via config files it's done via skills! For example, /add-telegram instructs your AI agent how to modify the actual code to integrate Telegram.

Here's the next line and the line after that. Again, LOC is really not a good measurement of software quality and it's even more problematic if it's a measurement of one's ability to understand a codebase.