DoytoQuery's author published a performance comparison against a number of data access frameworks, and it came out well - which isn't surprising, given that its author wrote the framework. They're deservedly proud of their work, and DoytoQuery has some interesting concepts in how it works, and may be worth further investigation, although there's a documentation gap and, as with most data access frameworks, an impedance mismatch.
A writing community survey asked "do you use AI?" — which sounds simple until you realize Grammarly is AI, your search engine is AI, and your spellchecker might qualify too. So: how would you actually avoid AI if you wanted to? And is there any good reason to try?
Oracle laid off roughly 30,000 people, including Sharat Chander and others important to the Java ecosystem. Layoffs are never fun to endure or watch, but it's worth asking: how many of us have actually paid Oracle - or Sun before them - anything? If we haven't bought anything, should we expect a voice in corporate decisions? And what does this mean for the platform work that actually matters?
From a health podcast, a guest ran into a situation where Claude - being used as an AI writing assistant - *offered to author content itself*, and the content is not only pretty good, but offers a chance for insight into how the entire modeling construct works.
OpenJDK leet koda Hanz Franz MacNamaramara told ByteCode.News today that the new structured concurrency implementation in the JVM was being rewritten in Python, using the most current AI modeling available.
Junior programmers mess up paradigms because they think they're more experienced than they actually are. They end up blaming the system for not working the way they think it should. I trusted the wrong thing, just like a junior programmer: I assumed my tests were wrong, my results were wrong, that I was wrong, and I was - but the error was in the location of the problem.
Yury Selivanov recently released lat.md, a knowledge graph for your codebase, stored as user-editable markdown. The tool itself sounds useful enough, but checking it out and working out what it provides for your code was more useful than the tool's existence itself: effective agent management means going through an onboarding process.
Miasma is a new project in Rust that creates a maze of twisty passages, all alike, for AI scrapers. It's got documentation to protect "good" scrapers, and creates nonsense for "bad" scrapers, but the problem isn't as simple as "punish AI for existing."
You've probably never thought about why your IDE's default theme uses the colors it does, or why every hospital, factory, and control room built between 1944 and 1980 looked the same. Beth Mathews' piece on Faber Birren answers the second question - and the answer has more to say about developer tooling than you might expect.