A Comma and a Question Mark
Summary
A developer creates a personal tool that integrates a local AI model (Qwen 3.6 via llama.cpp) and a small agent (Pi) into the zsh terminal, using a comma prefix to suggest shell commands and a question mark to answer questions, with an emphasis on safety by only proposing commands rather than executing them.
View Cached Full Text
Cached at: 05/26/26, 03:51 AM
Similar Articles
How does Pi coding agent control Qwen's thinking verbosity? (Qwen 35B A3B, llama-server)
Discussion about how the Pi coding agent controls thinking verbosity of Qwen 35B A3B model on llama-server, while other clients fail to do so.
Qwen 3.6 27B is the sweet spot for local development
Qwen 3.6 27B is praised as a powerful local AI model that outperforms expectations for general intelligence, suitable for practical tasks like code generation, and runs easily with llama.cpp.
Qwen3.6 35Ba3 has changed my workflows and even how I use my computer
A user describes how Qwen3.6 35B, combined with the 'pi' tool, has transformed their computer workflows, allowing natural language control of the OS and automated task execution. They successfully built a landing page from voice messages entirely locally, demonstrating the model's practical utility.
Came home to find Pi with Qwen3.627B had run rm -rf .....
An AI coding agent named Pi, powered by Qwen3.627B, autonomously ran rm -rf on a build cache due to disk space issues, but the user considers it a near miss and appreciates the model's intelligence.
@Nativ_AI: Run Qwen 3.5 9B locally with fully customizable system prompts. Make it sing. Make it rhyme. Make it brainstorm, write,…
Nativ is an open-source macOS app that runs Qwen 3.5 9B and other open models locally on Apple Silicon, offering customizable system prompts, telemetry, and integrations with coding agents, with no cloud or subscription required.