Today’s links look at what monoliths really are, finding answers to cloud questions using AI-assisted tooling, and why people get laid off.

Today’s links look at a new Docker service for cloud-based container builds, how to build an app from scratch with AI-assisted tooling, and comparing RAG with fine-tuning.

Today’s links look at what modern continuous integration looks like, how you can join data that sits across clouds, and whether we should have special docs just for machines to read.

Today’s links look at “change fatigue” in enterprise IT, how to train up generative AI, and how to process analytical data in your LangChain app.

Today’s links look at what devs want out of AI-assisted tools, which OSS projects are most active, and how Slack handles issues with automated deployments.

Today’s links look at real-world examples of measuring dev productivity, what sidecars are about, and an AI model that does geometry better than you and me.

Today’s links look at why and how Apple uses billions of databases for iCloud, why Java is better than before, and how to continuously deploy ML models.

Today’s links look at how a major bank deployed generative AI, how distributed tracing in the cloud works, and whether LLMs can correct their own mistakes.

Today’s links look at integration and DDD books that stand the test of time, how to communicate more effectively, and how a 150-year-old bank uses a cloud database.

Today’s links look at classic papers every developer should read, how Go manages its secure software supply chain, and how you get set up your career as a platform engineer.