January 2015 Blog Posts (6)

Phone Software Entrepreneurs? Under 30 Forbes List

Forbes published an under 30 tech list featuring entrepreneurs who've made it big. Read about it …

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Added by Michael Levin on January 27, 2015 at 12:30pm — No Comments

Getting Started With Android

Interested in Android programming? Here's a nice, recent article at Lifehacker outlining good, free resources to get you going. http://lifehacker.com/i-want-to-write-android-apps-where-do-i-start-1643818268 ;

Added by Michael Levin on January 22, 2015 at 11:05am — No Comments

Pay What You Want: Back-End Developer Course Bundle

Pay What You Want: Back-End Developer Course Bundle…

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Added by Michael Levin on January 20, 2015 at 10:23am — No Comments

Speak at OSCON!

Here's a message from O'Relly about OSCON 2015:

We're deep into planning OSCON 2015 and we've got some exciting news: OSCON is changing. We're no longer beating the drum and…

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Added by Michael Levin on January 9, 2015 at 11:47am — No Comments

O'Reilly Solid Conference CFP closes 1/20!

The O'Reilly Solid conference is in San Diego in June and it's all about the merging of HW/SW for the IoT. Want to get involved? The Call for Papers is open and there are loads of benefits in giving a presentation for an O'Reilly conference., Take it from me! It's a great thing to do for the community and you learn a ton…

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Added by Michael Levin on January 9, 2015 at 9:30am — No Comments

How to Use SQL, Hadoop, Drill, REST, JSON, NoSQL, and HBase in a Simple REST Client

Our friend Carol just published this article.

SQL will become one of the most prolific use cases in the Hadoop ecosystem, according to Forrester Research. Apache Drill is an open source SQL query engine for big data exploration. REST services and clients have emerged as popular technologies on the Internet. Apache HBase is a hugely popular Hadoop NoSQL…

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Added by Michael Levin on January 7, 2015 at 1:45pm — No Comments

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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.

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InfoQ Reading List

AWS Expands Well-Architected Framework with Responsible AI and Updated ML and Generative AI Lenses

At AWS re:Invent 2025, AWS expanded its Well-Architected Framework with a new Responsible AI Lens and updated Machine Learning and Generative AI Lenses. The updates provide guidance on governance, bias mitigation, scalable ML workflows, and trustworthy AI system design across the full AI lifecycle.

By Leela Kumili

oRPC Releases Version 1.0 with OpenAPI Support and End to End Type Safety

Introducing oRPC 1.0, a cutting-edge TypeScript library for building typesafe APIs, offering a stable, production-ready solution with full OpenAPI integration. Key features include enterprise-grade type safety, complex type support, and seamless integration with popular frameworks. With superior performance and comprehensive migration guides, oRPC emerges as a choice for modern API development.

By Daniel Curtis

QCon AI New York 2025: AI Platform Scaling at LinkedIn

At QCon AI NY 2025, LinkedIn's Prince Valluri and Karthik Ramgopal unveiled an internal platform for AI agents, prioritizing execution over intelligence. By using structured specifications within a robust orchestration layer, they enhance agent observability and interoperability while ensuring human accountability.

By Andrew Hoblitzell

Pinterest Engineering Reduces Android CI Build Times by 36% with Runtime-Aware Sharding

Pinterest published a technical case study detailing how its engineering team cut Android end-to-end (E2E) continuous integration (CI) build times by more than 36 percent by adopting a runtime-aware test-sharding strategy and building an internal testing platform.

By Craig Risi

Presentation: Lessons Learned From Shipping AI-Powered Healthcare Products

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement input/output guardrails for regulated industries and shares a framework for robust evaluations using human and LLM-based ratings. From prompt engineering to RAG and user feedback loops, she shares a data-driven roadmap for building reliable AI care agents at scale.

By Clara Matos

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