Learn and build the
AI-native way.

A practical AI newsletter for people in digital work.

Learn a method you can use in your next project. Each edition explains a change, shows how it affects your work and gives you an exercise to try.

What you get

A useful idea.
A way to put it into practice.

Work through one change and leave with something you can use in your day-to-day.

01

The Shift

One change in AI tools or ways of working, with the reasoning explained.

02

Why it matters

Where that change affects your work and what you need to consider.

03

Learn

A method you can apply, with an example that shows how it works.

04

Build

A focused 15 to 30 minute exercise. Try the method and check what you produce.

This is the part that matters

Sometimes

On editions that connect to a course, take the work further.

  • 05

    Go deeper

    A relevant course for taking the work further.

Latest edition

What's next?

Future of Dev has re-launched and re-branded, here's what you can expect

20 Sept 2026 · Luke Hennerley

Read the edition

Learn to code

Who it is for

Use AI with better judgement
wherever you are starting.

Develop skills through work you can try, inspect and explain.

Evolve

Improve how you work

You already work in software, product or digital delivery and want to use AI without lowering your standards.

Enter

Build your foundations

You are starting out or changing careers and need practical skills plus work you can show.

Lead

Set better standards

You guide a team or learning programme and need clear ways to judge how AI is being used.

Who writes it

Written by Luke Hennerley.

Luke Hennerley writes Future of Dev alongside his role as VP of AI Operations at Sidetrade.

His background spans software engineering, product development and digital delivery. He turns lessons from that work into methods readers can try, check and adapt.

About Luke and Future of Dev →

The approach

What does AI-native mean here?

Use AI as part of how you explore an idea, develop a skill and produce useful work. Learn how to guide it, check its output and decide what to change. The result might be a research process, a project brief, a repeatable workflow or even a working project.

Put your next useful AI skill
into practice.