ai-development-patterns, PaulDuvall - ”A comprehensive collection of patterns based on my experience for building software with AI assistance, organized by implementation maturity and development lifecycle phases. These patterns are subject to change as the field evolves.”

Don't kill your darlings, put them in the dead pool

Here is some (book) writing pedantry for business book writing. Of course, the way to write anything is to “just start writing.” For some people, this works. For most, the question is, “yes, but how ‘just start writing’?” That is, how do you start with a blank screen/blank sheet of paper? For me, I start typing into the screen like I was talking to someone, complete with things like “you know,” and “like,” and especially, “I mean…” Don’t write like you would write, write like you would talk.

Accelerating Enterprise Application Upgrades Through Legacy Dependency Migration: Spring Application Advisor 1.4 - Upgrading software is sort of a boring topic. But, when we talk about this with customers, they get more excited than talking about AI. I shit you not. Just upgrading your ancient Java versions (as in this product release) is a huge problem. And, if you want to do all that fancy new AI stuff, you need the newer versions of your framework and stack. Our recent survey gives off this vibe too: organizations that spend more time on “modernization” have more success with AI projects.

a word to my students - Copy and paste from AI only hurts the student. The rest of is should just worry about our own, ongoing shit-storms. // However, outside of education, when the point is to communicate and get shit done, I say go crazy with “chatbots.” They are probably better, more effective business writers than most.

The long slog to enterprise AI ROI. Or, digital transformation is back, baby!

Lots of AI slowdown and skepticism in the past week. Likely due to the letdown of the GPT-5 release, I guess? First, though from last month, The Economist asks “Why is AI so slow to spread?” GPT5 says it says: Integration Costs and Technical Frictions Many businesses haven’t integrated their datasets effectively into the cloud, creating latency and transaction costs. Even with AI tools available, getting data into the right format and place is a barrier—making adoption slow and expensive.