LazyShell – Autocomplete for Zsh with GPT
In plain words
LazyShell is an autocomplete tool for Zsh that uses GPT to suggest commands. It integrates with the Zsh shell to help users complete commands more efficiently by leveraging AI predictions. The tool is designed for developers and command-line users who want faster command entry and discovery. LazyShell stands out by combining GPT's language understanding with shell workflow, reducing the need to manually type or remember complex commands.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- IIInshellisense – IDE style shell autocomplete2023 · github.com · ▲388
I built this terminal native runtime for Fig's autocomplete to support Windows and Linux. Would appreciate any feedback on it!
- WAWarp, a Rust-based terminal2022 · warp.dev · ▲946
Hi HN community, I’m Zach, founder and CEO of Warp, and am excited to show you Warp, a fast Rust-based terminal that’s easy to use and built for teams. As of today, Warp is in public beta and any Mac user can download it. It works with bash, zsh, and fish. The terminal’s teletype-like interface has made it hard for the CLI to thrive. After 20 years of programming, I still find it hard to copy a command’s output; I always forget how to use `tar`; and I always have to relearn how to move my cursor. To fix fundamental accessibility issues, I believe we need to start innovating on the terminal,…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
