Tag: automation

BorgBackup is great. Borgmatic makes you actually run it: config-driven schedules, hooks, healthchecks, and a backup system that pages you when it breaks.

I pointed a parallel swarm of AI agents at 840 technical posts to fact-check and refresh them — the architecture, the token bill, and the guardrails.

Dify is an open-source LLM-app builder you can self-host. Visual workflow editor, RAG, agents, tool use — without writing 500 lines of LangChain glue.

Automate Docker container deployment with shell scripts, cron, and Ansible — stop SSHing in and restarting things by hand.

Speed up Ansible playbooks with pipelining, forks, fact caching, and async tasks — stop watching the spinning wheel on every play.

Write bash scripts that don't silently fail — set -euo pipefail, error handling, input validation, and logging patterns for production scripts.

Local LLMs can call tools, query APIs, and run code if you set them up right. Function calling on Ollama and llama.cpp explained — patterns that actually work.

Model Context Protocol turns your LLM into a tool-using agent — file access, APIs, your home lab. Build your first MCP server in under 50 lines of Python.

Traditional automation is just very fast copy-paste. When your email filter breaks because someone wrote "URGENT" in lowercase, you realize rule-based logic has limits. Connecting n8n to a local LLM turns "if this then that" into "figure this out and do the right thing."

Cron has been scheduling your jobs since before you were born. Systemd timers do everything cron does, plus logging, dependencies, and missed-run recovery.

Master bash for loops, while loops, and seq for sequential counting — iterate over files, ranges, and arrays without losing your mind.

Remove spaces and special characters from filenames using bash loops, rename, find, and parameter expansion tricks.