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  • OrlandoJUG Town

    OrlandoJUG Town

    96 members Latest Activity: Feb 23, 2021

    Calling all Java lovers! The OrlandoJUG features leading edge presentations with you in mind. We meet every month with talks on interesting…

Happy 10th year, JCertif!

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InfoQ Reading List

Storybook Releases Storybook v9 with Improved Testing Support

Storybook, the front-end workshop for UI development, has officially released version 9, bringing improvements to testing through a collaboration with Vitest and other core upgrades such as a flatter dependency structure to optimize performance and improve the overall developer experience.

By Daniel Curtis

Presentation: One Network: Cloud-Agnostic Service and Policy-Oriented Network Architecture

Anna Berenberg talks about One Network, Google's unified service networking overlay, which centralizes policy, simplifies operations across diverse environments, and enhances developer velocity. Learn about its open-source foundation, global traffic management, and vision for future multi-cloud and mobile integration.

By Anna Berenberg

How Pair Programming Enhanced Development Speed, Focus, and Flow

Ola Hast and Asgaut Mjølne Söderbom gave a talk about continuous delivery with pair programming at QCon London. Their team uses pair and mob programming with TDD; there are no solo tasks or separate code reviews. This approach boosts code quality, reduces waste, and enables the sharing of knowledge. Frequent breaks help to maintain focus and flow.

By Ben Linders

From C to Rust: inside Meta’s Developer-Led Messaging Migration

Meta has begun rewriting its mobile messaging infrastructure in Rust, gradually replacing a legacy C codebase that engineers say had become increasingly difficult to maintain and frustrating to work with.

By Matt Foster

Presentation: AI Agents & LLMs: Scaling the Next Wave of Automation

The panelists demystify AI agents and LLMs. They define agentic AI, detail architectural components, and share real-world use cases and limitations. The panel explores how AI transforms the SDLC, addresses concerns about accuracy and bias, and discusses the Model Context Protocol (MCP) and future predictions for AI's impact.

By Govind Kamtamneni, Hien Luu, Karthik Ramgopal, Srini Penchikala

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