kept hitting token limits mid task, at work and on my own projects. AI stops, says come back later. found 2 open source tools that cut usage from opposite ends 🧵

1. Code Review Graph Tree-sitter maps your repo so Claude only loads what matters. 49x reduction on monorepos.

For a young software engineer like me, this RTK Hit Hub repository is truly a game changer. RTK saves 60–90% LLM tokens by optimizing AI tool commands before they hit the model. #AI #LLM #Rust…

I've tried a lot of AI dev tools. very few have made me stop and stare at the stats page. rtk (Rust Token Killer) processed 22.1M tokens for me. It filtered out 18.6M of them. 84.3% reduction. the…

i've use this repository for saving tokens while building many things with @claudeai and it's working perfectly the repo: this repository got almost 60k stars on github (truly safe) the performance…

One of the best best best tools I use every day. Sits between your IDE/terminal/desktop app and compresses your code context before reaching your LLM context. At API pricing, I would have saved…

Well, @thsottiaux, let me properly reduce my token count. urwc.

🤖 rtk ⭐ 58,834 stars Stop burning money on LLM APIs. This zero-dependency Rust CLI proxy slashes your token consumption by 60-90% on everyday dev commands. 🔗 #AI #MachineLearning

https://t.co/BzjJBJ4IiT

raw dogging claude code with zero token tooling in 2026 is wild. if you're not using rtk + caveman, what are you doing?