December 2015 Blog Posts (4)

Hadoop and big data - believe the hype?

Ok, don't shoot the messenger: http://www.infoworld.com/article/3013151/hadoop/report-dont-believe-the-hype-about-hadoop-usage.html

What do you think? True or hype, in your experience?

Added by Michael Levin on December 22, 2015 at 1:38pm — No Comments

Learning JavaScript?

If you're learning JavaScript or just interested in how it's moving along, this survey has some nuggets to glean like what the most popular tools are these days. Have a look: https://ponyfoo.com/articles/javascript-developer-survey-results

Added by Michael Levin on December 16, 2015 at 9:30pm — No Comments

new JUG Africa social group

The new JUG Africa social group is live! Check it out here: https://community.oracle.com/groups/jug-africa-social-group



http://medianetwork.oracle.com/video/player/4640558532001

And more…

Continue

Added by Michael Levin on December 7, 2015 at 10:30am — No Comments

Early-access build b95 of JDK 9 is available for download

Hi All,



Early-access builds of JDK 9 with Project Verona in b95 are

available for download here https://jdk9.java.net/download



The goal of this Project is to implement the new JDK version string as

described in JEP-223. http://openjdk.java.net/jeps/223



The new version-string scheme is designed to easily distinguish major,

minor, and security-update… Continue

Added by Michael Levin on December 7, 2015 at 10:30am — No Comments

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InfoQ Reading List

GitHub Will Use Copilot Interaction Data from Free, Pro, and Pro+ Users to Train AI Models

GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and navigation patterns from active sessions, including private repos. Business and Enterprise tiers are excluded. Community concerns include dark patterns, IP exposure, and GDPR compliance.

By Steef-Jan Wiggers

Presentation: Directing a Swarm of Agents for Fun and Profit

Adrian Cockcroft explains the transition from cloud-native to AI-native development. He shares his "director-level" approach to managing swarms of autonomous agents using tools like Cursor and Claude Flow. Discussing real-world experiments in BDD, MCP servers, and language porting, he discusses why the future of engineering lies in building platforms that orchestrate AI-driven development.

By Adrian Cockcroft

Article: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure.

By Syed Danish Ali

ESLint v10: Flat Config Completion and JSX Tracking

ESLint version 10 has removed the legacy eslintrc configuration system, finalizing a long transition to flat config. The update enhances developer experience, especially for plugin authors and monorepo teams, by changing configuration file location and improving JSX reference tracking. Node.js support has been tightened, and new assertion options have been added to the RuleTester API.

By Daniel Curtis

Pinterest Deploys Production-Scale Model Context Protocol Ecosystem for AI Agent Workflows

Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks and integrate diverse internal tools. Domain-specific MCP servers, a central registry, and human-in-the-loop approval improve security, governance, and developer productivity while saving thousands of hours per month.

By Leela Kumili

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