terminal-tool

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A Comma and a Question Mark

Hacker News Top ↗ · 2026-05-22 Cached

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.

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#terminal-tool

@geekbb: A diff tool that the author boldly calls "the best diff viewer ever". If you often read code changes or review patches, its goal is to make diff results more intuitive and visually appealing. https://github.com/rockorager/comview…

X AI KOLs Timeline ↗ · 2026-05-19 Cached

Introduces a terminal diff tool called comview, which the author claims is "the best diff viewer ever". It supports reading unified diff from stdin and renders it beautifully, suitable for code review.

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@laobaishare: Amazing! An Indian solo developer created a terminal tool that programmers have overlooked for 20 years. It's called witr. It answers a question your OS always refuses to answer: Why is this process running?

X AI KOLs Timeline ↗ · 2026-05-15 Cached

An Indian solo developer released a terminal tool named witr that solves a long-unanswered question by operating systems: why a certain process is running.

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#terminal-tool

@QingQ77: A terminal AI coding agent designed specifically for DeepSeek API prefix caching mechanism, maintaining ultra-low token costs in long sessions through a cache-first architecture. https://github.com/esengine/DeepSeek-Reasonix… Reaso…

X AI KOLs Timeline ↗ · 2026-05-09 Cached

Reasonix is a terminal AI coding agent designed specifically for DeepSeek API prefix caching mechanism, achieving ultra-low token costs in long sessions through a cache-first architecture. In testing, 435 million input tokens cost only about $12, with a cache hit rate of 99.82%.

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anthropics/claude-code

GitHub Trending (daily) ↗ · 2026-05-29 Cached

Claude Code is an agentic coding tool from Anthropic that lives in the terminal, understands codebases, and helps with tasks like executing routine coding tasks, explaining code, and handling git workflows through natural language commands.

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