linting

A practical guide to hardening Bash scripts by pairing deterministic linters (ShellCheck, shfmt) with an AI reviewer invoked via curl/jq. It provides install commands, a drop-in ai-review.sh that prioritizes risks, proposes minimal diffs, and suggests tests, plus a pre-push Git hook and CI tips. Emphasis on safety (secret redaction, pinned models, logging) for reproducible, traceable improvements without slowing teams.

This guide shows how AI-aware Bash coding standards make shell scripts predictable for humans, CI, and LLMs, and offers five practices you can adopt now: start strict (set -Eeuo pipefail, IFS), document usage/deps for machines, prefer safe idioms (quoting, arrays, mktemp, printf), enforce quality with ShellCheck + shfmt, and test with Bats and JSON logs—plus a complete backup.sh example and CI wiring.

Learn how to pair AI assistants with ShellCheck and Bats to prevent common Bash mistakes: unquoted variables, fragile loops, and silent failures. The guide decodes linter output, applies safe refactors (set -euo pipefail, traps, quoting, arrays, nullglob, read -r, find -print0), and drafts Bats tests, with distro-specific install commands, reusable prompts, a pre-commit/PR workflow, and privacy tips.

Bash is powerful but full of foot-guns; this guide shows how AI plus a lean toolchain (ShellCheck, shfmt, pre-commit, bats, optional bash-language-server) helps catch and prevent common pitfalls, covering strict modes, safe quoting and input, filesystem/env safeguards, and automated checks, with examples, practical prompts, setup commands, and a checklist to harden scripts and workflows.

Learn to enhance your JavaScript development on Linux using ESLint in this detailed guide. Discover installation processes through Node.js and various Linux package managers, set up ESLint (locally or globally), and configure it to match project requirements. Run ESLint to detect and fix coding errors, integrate it into your development environment, and maintain code quality and consistency. Ideal for developers focused on adhering to coding standards and improving productivity. Further resources are provided for deeper understanding.