Talking Drupal #455 - Top 5 uses of AI for Drupal

Today we are talking about AI Tips for Drupal Devs, AI Best
Practices, and Drupal Droid with guest Mike Miles. We’ll also
cover AI interpolator as our module of the week.


For show notes visit:
www.talkingDrupal.com/455
Topics

Top 5 tips

Idea Generation (Ideation)

Code Generation

Debugging

Content Generation

Technical Explanations



How do you suggest people use AI for Ideation

Is MIT Sloan using AI to help with Drupal Development

Does that code get directly inserted into your sites

What are some common pitfalls

Is your team using AI for debugging

Any best practices you have found helping when working with
AI

Is MIT Sloan using AI for content generation

What is an example of how you use AI for technical
explanations

What is your view ont he future of AI in Drupal, do you think
AI will replace Drupal developers

Resources

Drupal Droid

Talking Drupal - Drupal Droid

Workflows of ai

AI guidelines

https://ist.mit.edu/ai-guidance

https://mitsloanedtech.mit.edu/ai/



Using AI as a Development Tool

Drupal Starshot: Delivering on a promise to Ambitious Site
Builders

Guests

Michael Miles - mike-miles.com mikemiles86
Hosts

Nic Laflin - nLighteneddevelopment.com nicxvan
John Picozzi - epam.com johnpicozzi
Randy Fay - rfay
MOTW Correspondent

Martin Anderson-Clutz - mandclu.com mandclu


Brief description:

Have you ever wanted to use AI to help populate entity
fields that were left blank by Drupal content authors?
There’s a module for that.



Module name/project name:

AI Interpolator



Brief history

How old: created in Sep 2023 by Marcus Johansson of
FreelyGive

Versions available: 1.0.0-rc4



Maintainership

Actively maintained, recent release in the past month

Security coverage - opted in, needs stable release

Test coverage

Documentation - User guide

Number of open issues: 18 open issues, none of which are
a bugs



Usage stats:

94 sites



Module features and usage

In scientific fields, interpolation is the process of
using known data to extrapolate or estimate unknown data
points. In a similar way this module helps your Drupal site
provide values for fields that didn’t receive input, based on
the information that was provided.

Fundamentally Interpolator AI provides a framework and an
API, and then relies on companion modules for processing,
either by leveraging third-party services like AI LLMs, or
PHP-based scripting.

There are existing integrations with a variety of AI
services, including OpenAI, Dreamstudio, Hugging Face, and
more.

You can add retrievers to help extract and normalize the
content you’re processing, for example photos from an
external site, and other tools to help normalize and optimize
content and media, and optimize any prompts you will be using
with AI services.

You can also extend the workflow capabilities of AI
Interpolator, for example using the popular and powerful ECA
module that we’ve talked about before on this show.