Andy Jassy on using Amazon Q, the company's generative AI assistant for software development, internally:
"The average time to upgrade an application to Java 17 plummeted from what’s typically 50 developer-days to just a few hours. We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real)."
"The benefits go beyond how much effort we’ve saved developers. The upgrades have enhanced security and reduced infrastructure costs, providing an estimated $260M in annualized efficiency gains."
Of course, Amazon is enormous, and any smaller business will need to scale down those numbers and account for efficiencies that may have occurred between engineers there.
Nevertheless, these are incredible figures. The savings are obviously real, allowing engineers to focus on actual work rather than the drudgery of upgrading Java (which is something that absolutely nobody wants to spend their time doing).
We'll see more of this - and we'll begin to see more services which allow for these efficiency gains between engineers across smaller companies, startups, non-profits, and so on. The dumb companies will use this as an excuse for reductions in force; the smart ones will use it as an opportunity to accelerate their team's productivity and build stuff that really matters.
[Link]
· Links · Share this post
I’m writing about the intersection of the internet, media, and society. Sign up to my newsletter to receive every post and a weekly digest of the most important stories from around the web.