Plus, a lot of talk about Java and Spring in large organizations.
Posts in "tech"
I was promised a smarter world, and instead I have this
October, 2010, probably at an airport.
How many apps are written in Java? How many apps use the Spring Framework and Spring Boot?
I’m always trying to find how many apps are written (and, of course, running) in Java. Here are recent numbers I have on hand:
“[N]early 70% of respondents say that more than half of their applications are built with Java or run on a JVM.” Azul survey, 2025. “98% of companies we surveyed use Java, with 57% saying it is the backbone of most of their application and infrastructure estate.
When should a Claude Skill use code versus just a SKILL.md?
Here are some thoughts after a week of using Claude Skills.
JasonJ in the SDT Slack says:
I’d tl;dr Claude CLI skills as “low/no/english code MCPs'”. Seems helpful in the way that local utility scripts are today.
That is a good way of putting it.
I haven’t done heavy experimenting, but I think there’s a distinction between:
(1) The Skill has no code, except maybe code fragments.
Most of it is just a SKILL.
Four Happy Cloud Foundry Users, 2025
From my Cloud Foundry Day EU talk. See the slides if you want to zoom in and click on the citations.
My friends at Rabobank corrected a figure: they support 300 developer teams, not just developers.
Cloud Foundry Day, October 7th, 2025
Next week in Frankfurt, October 7th, 2025: Cloud Foundry Day. I’m speaking in my ongoing attempts to help out the CF community with…marketing!
Here is the agenda:
Recording of my AI platform engineering talk
The talk discusses how platform engineers can navigate AI support, emphasizing the need for middleware, customer engagement, and rapid experimentation.
You get the enterprise AI you deserve, or, while management search for AI workloads, workers gobble up the AI ROI
Recent discussions on enterprise AI reveal that while individual workers may benefit from productivity gains, the overall ROI for companies remains unclear and challenging to measure.
I’m giving a talk on what platform engineers seem to be doing (and probably will do) to manage AI a #SREDay London today. Here are the slides: speakerdeck.com/cote/ai-p…
When you don't know what you're doing, do a lot of it
This a good, correct framing of the AI project failure stuff. No one really knows what will work and what they’re doing yet. As we learned in the digital transformation craze of the 2010’s, this means failure == learning. And learning is what you need to do a lot of.
More so, this kind of rapid learning, innovation, and sense making is exactly what a platform like Tanzu Platform with Cloud Foundry is excels at, and has a long, proven history of supporting.