[greenoracle9]

The main reason I'm using Chinese LLM is cost. Minimax M3 is a good deal with large context window. But, M3 jumps into implementation too quickly even when a task is clearly defined. It misses tests or edge cases, and occasionally lose track during longer work.

[jeffyaw]

i just use review skills on my sessions/prs extensively until they're in a good place. then coverage skills (which add test coverage).

i built in skills to work with M3 in a service called typed, an ai cli. it uses m3 under the hood (up to ~500k tokens), then switches to deepseek for up to 1M. a few bells and whistles added of typescript/python coding optimization. and just built a custom TUI frontend for it (initially works with the claude code tui and still does).

to toggle the typed tui you can run:

typed cli on

typed cli off