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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 ta
by greenoracle9 3mo ago
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 3mo agoi 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