Milad Alizadeh introduces 'kitcat', a new matplotlib backend designed for plotting directly within compatible terminals. Frustrated with Jupyter notebooks as a development environment, the author sought a leaner, script-based workflow for matplotlib plotting. Kitcat leverages the graphic protocol popularized by Kitty, allowing image data to be sent via escape codes to terminals supporting this functionality, such as Yazi.
The backend encodes PNG pixel data into base64 and transmits it, supporting chunked data for larger images. While acknowledging the existence of 'matplotlib-backend-kitty', kitcat aims for broader compatibility across terminals supporting the protocol. Future development may include support for iTerm2 animations and the Sixel graphics standard.
The backend encodes PNG pixel data into base64 and transmits it, supporting chunked data for larger images. While acknowledging the existence of 'matplotlib-backend-kitty', kitcat aims for broader compatibility across terminals supporting the protocol. Future development may include support for iTerm2 animations and the Sixel graphics standard.
This article advocates for wider adoption of Claude Code, an AI tool from Anthropic designed to write, edit, and fix code. Initially an internal tool for Anthropic developers, it's now publicly available as a command-line tool that operates within your terminal. It can understand natural language instructions to modify codebases, and even assists with non-programming tasks like file organization and research. While the terminal interface can be intimidating, the author suggests using it within an IDE or utilizing the Claude Desktop app's integrated Cowork interface, highlighting its potential for both developers and non-developers.
This article details how to set up a local AI assistant within a Linux terminal using Ollama and Llama 3.2. It explains the installation process, necessary shell configurations, and practical applications for troubleshooting and understanding system logs and processes. The author demonstrates how to use the AI to explain command outputs, interpret journal logs, and gain insights into disk usage and running processes, improving efficiency and understanding for both beginners and advanced Linux users. It also discusses the benefits and limitations of this approach.
OpenCode is an open source agent that helps you write code in your terminal, IDE, or desktop.
It features LSP enabled, multi-session support, shareable links, GitHub Copilot and ChatGPT Plus/Pro integration, support for 75+ LLM providers, and availability as a terminal interface, desktop app, and IDE extension.
With over 120,000 GitHub stars, 800 contributors, and over 5,000,000 monthly developers, OpenCode prioritizes privacy by not storing user code or context data.
It also offers Zen, a curated set of AI models optimized for coding agents.
It features LSP enabled, multi-session support, shareable links, GitHub Copilot and ChatGPT Plus/Pro integration, support for 75+ LLM providers, and availability as a terminal interface, desktop app, and IDE extension.
With over 120,000 GitHub stars, 800 contributors, and over 5,000,000 monthly developers, OpenCode prioritizes privacy by not storing user code or context data.
It also offers Zen, a curated set of AI models optimized for coding agents.
This page provides an overview of the 'Missing Semester' course, focusing on the importance of the shell as a powerful tool for computer scientists. It covers motivation, class structure, the basics of navigating and using the shell, and exercises to reinforce learning. The course aims to equip students with practical skills beyond rote memorization of commands, enabling them to automate tasks and solve complex problems efficiently.
This article details seven terminal-based tools – Gonzo, Lazyjournal, Toolong, Humanlog, GoAccess, Logrotate, and Logwatch – that can significantly improve the experience of working with logs for debugging, analysis, and management. It highlights how these tools offer interactive visualization, efficient navigation, and automated management to make log analysis more manageable and even enjoyable.
This article details the author's experience with Nushell, a terminal shell that presents data in a spreadsheet-like format, improving usability and productivity compared to traditional command-line interfaces. It covers installation, core concepts, benefits for everyday tasks, customization options, and limitations.
This guide explains how to use tool calling with local LLMs, including examples with mathematical, story, Python code, and terminal functions, using llama.cpp, llama-server, and OpenAI endpoints.
Crush is a Go-based CLI application that brings AI assistance to your terminal. It provides a terminal user interface (TUI) for AI coding.
Tmux is a terminal multiplexer that allows users to create and manage multiple terminal sessions within a single window. It offers features like session persistence, window and pane splitting, and customization options, enhancing productivity for Linux users, especially those working with remote servers or VMs.
