production best practices

A practical guide to hardening Bash-based AI workflows for production: start with a strict, logged, single-instance skeleton; load config and protect secrets; make safe API calls with curl timeouts, retries, and jq validation; add concurrency via GNU parallel, rate limiting, and idempotent caching; enforce maintainability with ShellCheck/shfmt; and use apt/dnf/zypper installs—plus a reusable batch example to ship reliably.