Where database blog posts get flame-broiled to perfection
Alright, settle down, whippersnappers. I just had the IT department "provision" me a coffee from a machine that thinks it's a barista, and now I see this. "Turn any AI coding agent into a Tinybird expert." An expert, you say? Wonderful. Back in my day, the only "coding agent" we had was a nervous junior programmer named Gary who you'd hand a stack of punch cards to and hope he didn't trip on his way to the mainframe. Let’s pour some cold, stale coffee on this "revolution."
First off, this idea of teaching an AI to be an "expert" in schema design is a special kind of hilarious. You think a machine that hallucinates function calls after reading a few blog posts can understand the subtle art of laying out a database? I’ve spent weeks locked in rooms with angry business analysts, drawing ERDs on a whiteboard until the markers ran dry, just to get the normalization right for a single payroll table. This thing is going to slap a UUID on everything because it’s "modern" and then wonder why the index is the size of a phone book for a small town. Trust me, the first time your AI genius decides a JSON blob is a perfectly acceptable substitute for a foreign key, you'll be wishing for a COBOL copybook.
They're raving about creating Materialized Views like they've just split the atom. Adorable. In 1985, wrestling with DB2 on an IBM System/370, we called these "summary tables." We built them with overnight batch jobs written in JCL that sounded like a fax machine falling down a flight of stairs. They weren't "magical" or "real-time"; they were the result of a chain of jobs that you prayed would finish before the 6 AM daily reports were due. You kids didn't invent pre-aggregation; you just gave it a sexier name and hooked it up to a VC's bank account.
And "endpoints"? You mean you’ve reinvented the stored procedure? How clever. We used to write these things to keep application developers from running SELECT * on a billion-row table and bringing the whole CICS region to its knees. Now you call it a "secure, scalable API endpoint" and act like you’ve built a bridge to the future.
You’re not building a revolutionary data access layer; you’re writing a glorified
IF-THEN-ELSEstatement that spits out JSON instead of a cursor.
This whole charade is predicated on the idea that you can distill decades of hard-won experience into "20 rules." That’s like giving someone a list of 20 rules to become a battlefield surgeon. Rule #1: Don't drop the scalpel. You haven't earned your stripes until you've had to restore a corrupted database from a DLT tape that’s been sitting on a shelf for five years, with the CFO asking for an update every thirty seconds. There’s no rule for the cold sweat that forms on your brow when tar throws an I/O error on the final archive file. An AI can't learn that kind of terror. It’ll just confidently apologize for the permanent data loss.
Honestly, I need another coffee. And maybe to find my old box of flow-charting stencils. At least those never tried to "optimize my workflow." Sigh. They just did what they were told.