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Jim Clarke's Blog (3)
JavaFX and SteelSeries gauges using FXML
Gerrit Grunwald, aka @hansolo_ on twitter, has just ported his Swing based gauges and meters framework known as SteelSeries to JavaFX as part of the JFXtras-lab project. I can't tell you how many times since Java AWT first came out, that I have had to use meters…
ContinueAdded by Jim Clarke on June 25, 2012 at 9:30pm — No Comments
JavaFX 2.2 Canvas
One of the cool new features of the JavaFX 2.2 developer preview release is a new Canvas node that allows you to do free drawing within an area on the JavaFX scene similar to the HTML 5 Canvas. You can download this release for Windows, Mac, and Linux from JavaFX Developer Preview.
Being adventurous, I decided to take the JavaFX Canvas for a spin around the block. In doing…
ContinueAdded by Jim Clarke on June 3, 2012 at 8:11pm — No Comments
GroovyFX, Getting started.
Dean Iverson and I have been working on an open source project called GroovyFX that provides a Groovy binding that sits on the new JavaFX 2.0 platform. Dean has written a good blog on how to get started with GroovyFX here. It is already a little dated, but if you ignore the JavaFX build numbers and just download the…
ContinueAdded by Jim Clarke on September 27, 2011 at 4:51pm — No Comments
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
C++26: Reflection, Memory Safety, Contracts, and a New Async Model
The C++26 standard draft is now complete, reports Herb Sutter, long-time C++ expert and former chair of the ISO C++ standards committee. The finalized draft introduces reflection, enhances memory safety without requiring code rewrites, adds contracts with preconditions and postconditions alongside a new assertion statement, and establishes a unified framework for concurrency and parallelism.
By Sergio De SimoneMeta Reports 4x Higher Bug Detection with Just-in-Time Testing
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments
By Leela KumiliCNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads
A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and isolating workloads, it does not inherently understand or control the behavior of AI systems, creating a fundamentally different and more complex threat model.
By Craig RisiAnthropic Introduces Agent-Based Code Review for Claude Code
Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using multiple AI reviewers.
By Daniel DominguezPresentation: Speed at Scale: Optimizing the Largest CX Platform Out There
Matheus Albuquerque shares strategies for optimizing a massive CX platform, moving from React 15 and Webpack 1 to modern standards. He discusses using AST-based codemods for large-scale migrations, implementing differential serving with module/nomodule, and leveraging Preact to shrink footprints. He explains how to balance cutting-edge performance with strict legacy browser constraints.
By Matheus Albuquerque
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