If you’re like me, you’ve toggled between AI coding assistants trying to find the "best" one. Gemini generates features fast, while OpenCode’s models are good for catching edge cases. But why choose?

I built a custom workflow using Gemini CLI to orchestrate three specialized agents that bridge these two worlds. Here’s how I get the best of both: Gemini's speed for implementation and OpenCode's rigor for review.

The Three-Agent Setup

My .agents directory contains three distinct roles. The magic of Gemini CLI is its ability to not only write code but also manage other CLIs and agents:

code-writer (Gemini-powered): The primary builder.…