Today was the big day for the South Korea trip. I was with our friends at LG who are hosting their 3-day developer conference. After doing a keynote, I had the pleasure of meeting with various executives, and answering questions about how to increase productivity with AI. Good timing, with the new DORA report out today!
[blog] Announcing the 2025 DORA Report: State of AI-Assisted Software Development. An absolute must-read this year. I’m going through it now, and it’s 140+ pages of tremendous data and analysis.
[article] Six Frameworks for Efficient LLM Inferencing. Once you have a model, you need an inferencing engine to serve predictions with it. Jani offers up a helpful review of your options.
[blog] Don’t Fire Your Developers! What AI-Enhanced Software Development Means For Technology Executives. What he said. But looks like few managers are thinking that way.
[article] Survey Surfaces Software Engineering Challenges Following Adoption of AI. Our DORA research shows this as well. You don’t just drop AI tools into a team and magically get better performance.
[article] AI-Generated “Workslop” Is Destroying Productivity. Here’s the flip side of all this AI enthusiasm. Will we churn out more mediocre content in the name of “productivity” and skipping real thought by outsourcing tasks to AI? Guard against that.
[blog] Strengthening our Frontier Safety Framework. I’m glad that we constantly re-evaluate this and update it with what we’ve learned.
[blog] The Myths (and Costs) of Running Node.js on Kubernetes. Interesting take. The pitch here is for a more intentional approach to using k8s to run Node, assuming you even need to run it there.
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