cli tools

Turn your Linux shell into an AI-powered automation hub: this guide shows why LLMs fit Bash's text-first world, how to install curl/jq, run Ollama locally or use OpenAI-compatible APIs, and drop in a minimal ai.sh client. Build safe workflows for log triage, intent-to-command with confirmation, incident summaries, and JSON extraction, plus hardening tips for redaction, timeouts, budgets, and audits.

Turn your terminal into an AI-powered toolbox with a tiny bash ai() wrapper for cloud or local (Ollama) models. The guide shows setup, a secret-scrubbing helper, and four workflows: summarize and triage logs, generate safe one-liners, draft Conventional Commit messages, and explain/refactor scripts, plus tips for secure, reproducible, low-cost usage and easy switching between cloud and local.

Hands-on guide to add AI to your shell using Bash and curl: minimal setup and secure config, plus ready-to-use scripts—ai.sh (streaming chat), summarize.sh (chunked TL;DRs), transcribe.sh (speech-to-text), and commit-ai (Conventional Commits). Covers examples, piping patterns, reliability/privacy tips, and switching to local models with Ollama. If you can pipe it, you can AI it.

A practical guide for terminal-first Linux users to run AI locally: recommends top small-to-mid open models (Llama 3, Mistral, Phi-3, Qwen2.5 Coder, Mixtral), shows 5-minute Ollama setup or high-control llama.cpp with GGUF quantization, gives real CLI recipes (explain, summarize, code, logs, commits), tips for speed, context, determinism, and a curl API fallback, keeping data private and costs predictable.

A practical guide to bringing AI into the Linux terminal: prepare your system with Python/pipx, install the llm CLI for cloud and local models, run offline LLMs via Ollama, and use Aider as a Git-savvy pair programmer. Includes distro-specific commands, piping-friendly examples, aliases, HTTP usage, GPU notes, and troubleshooting—so you can automate summaries, scripts, and refactors directly from Bash.

Learn to master the Linux 'ps' command for effective system process management. This guide explores how to use 'ps' for viewing and filtering active processes. It offers detailed examples and advanced techniques for both beginners and experienced admins, enhancing process troubleshooting and system optimization. Discover indispensable skills for maintaining optimal Linux system performance.