Codetown
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February 2017 Blog Posts (4)
Public Safety Data Hackathon
Looking for something interesting to do this weekend? Well, if you're in South Florida, there's a hackathon Saturday that sounds like a great way to learn some new tools and use some interesting …
ContinueAdded by Michael Levin on February 16, 2017 at 12:58pm — No Comments
O'Reilly Conference Diversity and Inclusion Scholarship Program
O'Reilly Conference Diversity and Inclusion Scholarship Program:
At O'Reilly, they believe that true innovation depends on hearing from, and listening to, people with a variety of perspectives. They want their conferences, and the technology communities and companies who participate in them, to include, encourage, and recognize people of all races,…
ContinueAdded by Michael Levin on February 11, 2017 at 7:19pm — No Comments
Humble Bundle 2017
Humble Bundle 2017:
O'Reilly has another Humble Book Bundle, this time: All about Hacks.
Fill your library with practical and creative hacks with O'Reilly's latest Humble Bundle. Readers can pay any price they choose and support a charity at the same time! Bundle Ends …
Added by Michael Levin on February 11, 2017 at 7:17pm — No Comments
JFocus!
https://www.jfokus.se/jfokus/
I noticed Matt Raible is there and a bunch of people you probably know.
If you have some news to report about JFocus or just want to keep up with what's going on, stay tuned and please add comments.
Added by Michael Levin on February 9, 2017 at 8:30am — No Comments
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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
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
OpenCode: an Open-source AI Coding Agent Competing with Claude Code and Copilot
Open-source AI coding tool OpenCode features a native terminal-based UI, multi-session support, and compatibility with over 75 models, including Claude, OpenAI, Gemini, and local models. In addition to its CLI tool, OpenCode is also available as a desktop app and and an IDE extension for VS Code, Cursor, and other tools.
By Sergio De SimoneGetting Feedback from Test-Driven Development and Testing in Production
Teams rely on strong unit and integration tests instead of end-to-end tests. Using TDD, pair programming, and good design, they ship small changes often, test in production for real feedback, and use feature toggles to reduce risk, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming.
By Ben LindersGoogle Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration!
By Steef-Jan WiggersLinkedIn Re-Architects Service Discovery: Replacing Zookeeper with Kafka and xDS at Scale
LinkedIn's engineering team successfully upgraded its legacy ZooKeeper service discovery platform to enhance scalability and performance. By leveraging Apache Kafka and the xDS protocol, the new architecture enables eventual consistency, supports multiple languages, and allows migration without downtime. Post-upgrade, latency vastly improved, facilitating hundreds of thousands of app instances.
By Patrick FarryPresentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems
Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.
By Sarah Usher
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