Gemini CLI tips and tricks for agentic coding

Post by theshrike79 » Mon, Dec 01, 2025, 1:59 PM UTC

cesarvarela wrote: post #123

novoreorx wrote: post #66

I really wish there were a de facto state-of-the-art coding agent that is LLM-agnostic, so that LLM providers wouldn't bother reinventing their own wheels like Codex and Gemini-CLI. They should be pluggable providers, not independent programs. In this way, the CLI would focus on refining the agentic logic and would grow faster than ever before. Currently Claude Code is the best, but I don't think Anthropic would pivo…

I think Claude Code is the best because it is not agnostic.

Vertical integration pretty much, they if they need a feature in CLI the model doesn't support, they can just re-train the next model version.

Post by cookiejest » Wed, Dec 03, 2025, 6:02 AM UTC

It's interesting to see the variety of approaches people are taking to get consistent results from LLMs for coding. The discussion around prompt engineering, agentic workflows, and even the choice of model (Gemini, Claude, etc.) highlights a common challenge: managing the complexity of different AI integrations.

One way to streamline this is to use a universal MCP server. Instead of building and maintaining separate connections for each AI service, you can use a platform like [contextgate](https://contextgate.ai/) to manage them all from a single point. This can simplify your development process, especially when you're experimenting with different models or tools to find the best fit for your coding tasks. It's a bit like having a universal remote for all your AI services.

Re: Gemini CLI tips and tricks for agentic coding

Re: Gemini CLI tips and tricks for agentic coding