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Posted on June 25, 2012 at 9:30pm 0 Comments 1 Like
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…
ContinuePosted on June 3, 2012 at 8:11pm 0 Comments 0 Likes
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…
ContinuePosted on September 27, 2011 at 4:51pm 0 Comments 0 Likes
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…
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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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The Model Context Protocol (MCP) C# SDK has been updated to support the latest specification, version 2025-06-18. As reported, this release introduces several new features for .NET developers working on AI applications, including an updated authentication protocol, elicitation support, structured tool output, and resource links in tool responses.
By Almir VukMicrosoft and OpenAI launched GPT-5 on the Azure AI Foundry, revolutionizing enterprise AI with its advanced reasoning and task-specific model orchestration. This suite enhances applications like Microsoft 365 Copilot and GitHub Copilot, enabling seamless interactions and high-quality outputs tailored for real-world scenarios. GPT-5 empowers organizations to drive AI transformation efficiently.
By Steef-Jan WiggersSam Newman discusses the three golden rules of distributed computing and how they necessitate robust handling of timeouts, retries, and idempotency. He provides practical, data-driven strategies for implementing these principles, including using request IDs and server-side fingerprinting to create safe, resilient distributed systems.
By Sam NewmanEmerson Murphy-Hill explains how to prioritize investments in engineering productivity using data from Google, National Instruments, and ABB. He discusses a ranked list of productivity drivers, the impact of biases in code reviews and documentation, and the practices of exceptionally diverse and inclusive engineering teams.
By Emerson Murphy-HillAnthropic has recently made Claude Code Subagents generally available, enabling developers to create independent, task-specific AI agents with their own context, tools, and prompts.
By Hien Luu
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JIm,
Thanks for the great presentation last night. We all enjoyed it!
All the best,
Mike