code generation

Learn how to run open, local AI code models on Linux to supercharge Bash: why they’re private, fast, and cost-predictable; how to prep your system; pick Ollama (quick HTTP API) or llama.cpp (OpenAI-style server); pull 7B-13B models; add ai(), ai-review(), ai-patch() helpers; use them for script scaffolds, log explanations, diffs, and refactors; plus tuning, safety, and GPU tips - offline and in control.

A practical guide to using a minimal CLI harness to let an LLM generate complete, testable Bash automation projects—scripts, tests, docs, CI—under tight guardrails. Covers required tools (shellcheck, shfmt, bats), file-marker apply script, OpenAI/Ollama generators, Make targets, and a generate→apply→verify loop, with a backup/log-rotation example, robust prompts, tips, and fixes for common pitfalls.

Practical guide to pairing AI with proven CLI tools to write safer, cleaner Bash: install a toolkit (shellcheck, shfmt, bats, sgpt), scaffold strict-mode scripts with usage/getopts, use ShellCheck plus AI diffs to fix bugs, enforce style with shfmt and Git hooks, generate Bats tests, harden risky patterns, and follow privacy/portability tips—then wire it into CI.

Guide to AI in the terminal for Bash developers: why it boosts speed, safety, and learning; step-by-step installs (apt/dnf/zypper) and usage for GitHub Copilot CLI, Shell-GPT, Aider, and Ollama; practical examples and workflows (draft->explain->harden, refactor to scripts, offline runs); plus a safety checklist and next steps to adopt one tool today.

Turn brittle Bash into robust, consistent scripts by pairing AI-generated error‑handling scaffolds with a small reusable module. You get strict modes, rich ERR/EXIT traps, logging, retry/backoff, cleanup, and require_cmds; prompts to generate helpers; validation via bash -n, shellcheck, bats; real examples (curl with jitter, checksums, extraction); plus package install steps and CI guidance.

A hands-on guide to build ai-func, a small Bash tool that turns natural-language requests into safe, shellchecked Bash functions via an OpenAI-compatible API, installs them into ~/.bash_ai_functions, and auto-loads them in your shell. Covers setup (curl, jq, ShellCheck), configuration, generation, linting, iteration, practical examples (mkcd, px, git_graph, httpjson, dus), and version-controlling your helpers.

A practical, step-by-step guide to using AI as a Bash pair‑programmer: set up a tiny CLI helper (OpenAI/Ollama) and core tools (shellcheck, shfmt, rg, fzf), then generate robust script skeletons, refactor legacy code, debug via ShellCheck explanations, and adapt vetted snippets—wrapped in safety practices and optional editor integration—to accelerate drafting, testing, and maintenance without losing reliability.

Learn how to use AI as a pair programmer to generate robust Bash error handling scaffolds (traps, logging, retries, safe downloads), then harden them with ShellCheck, shfmt, jq, and bats. The guide provides prompts, a reusable skeleton, wrappers for risky commands, CLI automation tips, and testing to simulate failures, standardize patterns, and prevent 2 AM outages.