Have you ever migrated a WordPress site by hand? Database exported, files zipped, config rewritten line by line? Then you know: it’s the kind of operation that turns coffee into survival fuel. And this week, it was my turn.
The Process (or: How Not to Lose Your Mind or Your Data)
Old-school migration is simple in theory. In practice, it’s a bit like moving a fish tank without losing the fish.
Here’s the step-by-step:
- Database export via phpMyAdmin (or WP-CLI if you like to show off)
- File retrieval via FTP, wp-content first
- Setting up the target environment: new database, new credentials
- SQL import, URL update with Search & Replace DB
- Updating wp-config.php
- Checking permalinks, plugins, missing media
- Coffee. Non-negotiable.
That’s where AI stepped in. I used Claude to quickly generate the Search & Replace script, debug an obscure error message in the wp_options tables, and draft the post-migration checklist. Real time saved, no question.
But here’s the thing: AI gave me a perfectly clean SQL query… for a version of MySQL the target server didn’t have. Result: error, back to the terminal, manual fix. Without experience, you don’t even know why it’s breaking.
AI Is a Tool, Not a Replacement (Important Distinction)
You hear it everywhere: “AI is going to kill web jobs.” Honestly? No. Not like that.
What AI does really well: speed up repetitive tasks, suggest code, document, explain errors in plain English. It’s a powerful assistant, available 24/7, that never takes a coffee break (unlike me).
What it doesn’t do: sense that the destination server is running on a 5-year-old config, understand the client’s business context, know that this e-commerce site can’t afford 3 hours of downtime on a Friday night.
The real danger isn’t AI. It’s believing you can use it without any technical background. The tool amplifies what you already know. If you know little, it amplifies little. If you have experience, then it becomes genuinely powerful.
Jobs Are Changing, Not Disappearing
The WordPress consultant of 2025 doesn’t do exactly the same things as in 2018. And that’s perfectly fine.
Before: you’d spend 20 minutes searching the docs, copy-pasting from Stack Overflow, testing locally.
Today: you ask AI, get a solid base in 30 seconds, adapt with experience, deploy.
The value has shifted. It’s no longer about “knowing how to do the move” but about “understanding why it works, and why it can break.” That’s not bad news. It’s an invitation to level up, to understand the fundamentals rather than just following recipes.
Today’s migration reminded me of something: AI holds the flashlight. But you’re the one who knows where the wires are.
Bottom Line
So yes, use AI. Integrate it into your workflow, save time, reduce friction. But keep practicing, keep getting your hands dirty in the terminal, keep understanding what’s happening under the hood. That’s the real value-add in 2025: experience amplified by tools, not replaced by them. 🔧