And I wanted to give you some tips and tricks on how to get the most out of claw-coder
Did you know:
That you can connect to any gpu or codespace cpu and let claw-coder configure everything and run claw-coder's backend and llm on the gpu and have only the ui locally
That you can pay for more credits and get 1000s to 100 000s of credits just to use claw-coder's best features
That you can use claw-coder with bigger llms and get better results
That claw-coder has a docker tool and will soon recieve it's own cpu machine
you can run
```bash
claw ingest .
```
To get your current working dir into claw-coder's knowledge graph
This launch is amazing because there is no tool built and optimized for the local first agent experience but claw-coder bridges the gap between a local agent and an autonomous agent perfectly turning small ai models into capable agents.
