Uploaded May 2026 | Updated September 2026, 2 weeks ago
🚨 Get 12% off any Token Plan tier: platform.minimax.io/subscribe/coding-plan?code=9PuYDYrfpN&source=link
Resources:
- M2.7 model card: hf.co/MiniMaxAI/MiniMax-M2.7
- M2.7 blog post: minimax.io/news/minimax-m27-en
- MiniMax Token Plan: platform.minimax.io/subscribe/token-plan
- Cache Commander (the repo I demo): github.com/juliensimon/cache-commander
In this video, I run MiniMax M2.7 — an open-weight ~228B-parameter MoE model — as my coding model inside Claude Code. I show the Anthropic-Messages-compatible setup, demo MiniMax's recommended Opus → M2.7 hybrid workflow on a real Rust project (my cache-commander project), running a full code and test review, and sending a PR.
⭐️⭐️⭐️ More content on Substack at airealist.ai ⭐️⭐️⭐️
🚨 Get 12% off any Token Plan tier: platform.minimax.io/subscribe/coding-plan?code=9PuYDYrfpN&source=link
Resources:
- M2.7 model card: hf.co/MiniMaxAI/MiniMax-M2.7
- M2.7 blog post: minimax.io/news/minimax-m27-en
- MiniMax Token Plan: platform.minimax.io/subscribe/token-plan
- Cache Commander (the repo I demo): github.com/juliensimon/cache-commander
In this video, I run MiniMax M2.7 — an open-weight ~228B-parameter MoE model — as my coding model inside Claude Code. I show the Anthropic-Messages-compatible setup, demo MiniMax's recommended Opus → M2.7 hybrid workflow on a real Rust project (my cache-commander project), running a full code and test review, and sending a PR.
⭐️⭐️⭐️ More content on Substack at airealist.ai ⭐️⭐️⭐️
