January 2015 Blog Posts (6)

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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

GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses

GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.

By Craig Risi

Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.

By Sudeep Das, Pradeep Muthukrishnan

Article: Redesigning Banking PDF Table Extraction: A Layered Approach with Java

PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.

By Mehuli Mukherjee

Cloudflare Introduces Project Think: A Durable Runtime for AI Agents

Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Session API for relational conversations, enhancing agent efficiency and resilience.

By Patrick Farry

Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.

By Leela Kumili

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