Six people gathered around a desk with a screen, bathed in a blow glow
Image by author using Midjourney

Member-only story

If engineers start to use AI coding tools, what happens to our product teams?

The Impact of AI on Product Engineering teams — Part 3

Mark Ridley
TDS Archive
Published in
10 min readJul 27, 2023

--

This is the third part of a six part series investigating how generative AI productivity tools aimed at developers, like Github Copilot, ChatGPT and Amazon CodeWhisperer might impact the structure of entire product engineering teams.

In Part 2, we explored:

  1. How generative AI tools like ChatGPT are redefining the way product engineering teams approach coding — from generating user stories to writing the actual code.
  2. How tasks often perceived as tedious by developers, like writing tests and documentation, can now be easily and efficiently handled by AI, making the entire coding process more streamlined.
  3. The crucial importance of tests and the potential future of prompt-engineered applications that might be initiated with thoughtful test design.
  4. A vision of the future where Generative AI tools reshape the roles within product engineering teams and the profound implications for engineers and leaders.

How will Generative AI tools transform team structure?

--

--

TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Mark Ridley
Mark Ridley

Written by Mark Ridley

Technologist, lean evangelist, chaos monkey and Chief Technology Prevention Officer. Loves good coffee, hanging around on ropes and driving about in cars

No responses yet