Why I Automate Everything

The first job of my career was recovering data from corrupted SQLite databases. I was building forensics software: a hex dump on the screen, a byte map in my hand, chasing lost records for hours. What that job taught me wasn't technical: human attention is the most expensive and fastest-depleting resource in the universe.

Misread one byte and the record is gone. Reach minute one hundred and your attention is gone. The solution wasn't more coffee; it was delegating every attention-hungry step to code. The habit that started that day became a philosophy ten years later: automate everything that can be automated, share what you know, simplify the rest.

Automation is not laziness

The misunderstanding I hear most: "automators are dodging work." It's the opposite. Manual work is done once and evaporates; automated work accumulates. Every provisioning pipeline I've written, every control plane I've built, is frozen labor that keeps working after I've left the room.

I see it this way: manual work is an expense, automation is an investment. The difference compounds.

Three rules

1. If you've done it twice, the third time belongs to a machine. The first time you learn, the second time you verify. The third repetition is an insult to human attention.

2. The automation itself must stay simple. A 2,000-line script nobody understands is worse than the manual task — because now there are two problems. Automation shouldn't make work invisible; it should make it understandable.

3. Unshared automation is half automation. If someone else is solving the same problem from scratch, my solution is incomplete. The blog and the open source are consequences of this rule — knowledge exists to be multiplied, not hoarded.

So what's left for humans?

I think the people who believe most in automation have the most human answer: we work to hand repetition to machines so that judgment stays with people. Drawing boundaries, asking the question that moves the boundary, being able to say "should we even do this at all?" — none of that automates. The LLM era didn't change this balance; it only widened the definition of "repetition."

This is where JUKIPER comes from

For ten years I applied this philosophy to other people's infrastructure. JUKIPER is the same philosophy on my own workbench: tools born from real problems I solved in the field, turning into products anyone can use. The blog tells the experience, open source distributes the solution, and the products will complete the rest.

The road from hex dumps to LLM agents summarizes to one sentence: spend your attention on judgment, not repetition.

The rest? Let the work speak.