It's important to tell that (sometimes) AI fails for us too - and what we do about it.

Prerequisite

No prerequisities

Target Audience

Developers who want to learn AI tools but are scared by the quick paces of changes

Outline

Developer community is currently split into three uneven camps:

* The Skeptics who refuse to touch AI on principle.
* The Champions who seem to be rewriting Facebook every afternoon just to prove a point.
* The Silent Majority - those who want to use new tools but feel so far behind the "Champions" that it’s discouraging to even start.

If you belong to that third group, you’re likely suffering from an AI Mid-Life Crisis. You’ve seen the polished stage demos where AI generates a perfect migration script, but when you tried it, you got a hallucinated mess of Drupal 7 hooks and broken YAMLs.

It’s time to talk about the "Failure Stories."

This session isn't a "how-to" on prompt engineering.
It's an honest discussion on what happens when AI fails in the real world of Drupal development - and what we can do about this.
We’ll discuss why feeling "behind" is a trap, why the 10x developer myth is toxic for team morale, and how we can bridge the gap by being more transparent about our struggles.

Learning Objectives

Normalize the Struggle: Break down the psychological barrier of "Champion Insecurity" that keeps developers from experimenting.

The Anatomy of an AI Fail: Look at specific examples of where LLMs struggle with Drupal’s complexity (and why that's okay).

Building a Failure Library: How teams can share their AI "blooper reels" to actually learn faster than a solo "superstar" would.

Experience level
Beginner