five people working around a set of screens, highlighted in yellow
Image by author using Midjourney

Member-only story

If AI Coding Tools Reduce the Number of Engineers We Need, Where Do We Spend Our Budgets?

The Impact of AI on Product Engineering teams — Part 4

Mark Ridley
TDS Archive
Published in
9 min readJul 28, 2023

--

This is the fourth 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 3, we explored:

  1. How Generative AI tools could potentially upend the longstanding ratio of 5 engineers to 1 product manager.
  2. How tools like Github Copilot and AWS Amplify Studio could reshape product development, shifting the engineer’s focus from hand coding to design, architecture, and integration.
  3. How Generative AI tools can assist teams who are facing painfully outdated tech, handling complex porting and refactoring effortlessly.
  4. The possible unifying influence of AI tools on mobile and web app development, reducing duplicated efforts and bridging the skill gaps between web, Android, and iOS development.
  5. The impact of coding automation on junior developers and engineering progression

What will our new organisations look like?

--

--

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