rtk

I used to use Gemini CLI and was pretty happy with it… until I started using Claude Code. I think it’s, for now, the most advanced AI tool available right now. You can manage skills, the MCP, plugins, agents, hooks… It’s a truly comprehensive tool, but its main drawback is the token consumption of the Anthropic model, especially in recent days. There are solutions to reduce input tokens, for example this GitHub project https://github.com/rtk-ai/rtk. It uses hooks to replace certain commands with optimized ones and helps reduce the number of input tokens. It’s a start...

Faced this too. Tried https://github.com/rtk-ai/rtk to compress cli output but some commands started failing and the savings were minimal. Ended up just being more deliberate about context size instead of adding more tooling on top

> the file loads into context on every message, so on low-output exchanges it is a net token increase Isn’t this what Claude’s personalization setting is for? It’s globally-on. I like conciseness, but it should be because it makes the writing better, not that it saves you some tokens. I’d sacrifice extra tokens for outputs that were 20% better, and there’s a correlation with conciseness and quality. See also this Reddit comment for other things that supposedly help: https://www.reddit.com/r/vibecoding/s/UiOywQMOue > Two things that helped me stay under [the token limit] even with heavy usage: > Headroom - open source proxy that compresses context between you and Claude by ~34%. Sits at localhost, zero config once running. https://github.com/chopratejas/headroom > RTK - Rust CLI proxy that compresses shell output (git, npm, build logs) by