MiniMax M2 + GPT-5 Codex + My Workflow: This is HOW YOU SHOULD USE MiniMax M2 for BEST RESULTS!

Description

In this video, I’ll be sharing how I use Minimax for long-running, agentic coding workflows, why interleaved thinking matters, which tools support it (Cline, Claude Code), how I plan with GPT-5 Codex in Kilo, and how it stacks up against GLM, GPT-5, and Claude. -- Key Takeaways: 🚀 Minimax excels at long-running, autonomous tasks thanks to interleaved thinking. 🧠 Interleaved thinking lets the model re-evaluate mid-response, improving instruction following and staying on track. 🧰 Tooling: Cline and Claude Code support interleaved thinking; Roo doesn’t; OpenRouter doesn’t pass it through; Minimax’s API does. 🪄 Practical setup: enforce “don’t stop until done,” run linting, start servers, fetch pages, and verify no error pages for Next/React. 🔌 MCPs: prioritize the Context7 MCP to fetch the right context reliably during builds. 📋 Planning workflow: use GPT-5 Codex in Kilo (Architect mode) to create a plan, then implement with Minimax via Claude Code. 🛡️ Debugging and safety: review Git diffs, address linting errors, and do quick security checks before prod. ⚖️ Model matchup: GLM is a strong all-rounder with a solid Coding Plan; Minimax is a fast, cheap agentic option; Sonnet usage has dropped. 💸 Cost angle: Minimax is currently free/snappy; a future Coding Plan could make it an even cheaper alternative. ✅ Recommendations: For best results today, use Claude Code or Cline; broader tool support is improving. 🧩 Open models are rapidly improving; fine-tuning Minimax with agent-focused docs is an upcoming deep dive.