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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InfoQ Reading List

Presentation: Accelerating LLM-Driven Developer Productivity at Zoox

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.

By Amit Navindgi

Moonrepo Releases Moon v2.0 with WASM Plugin Toolchains and Overhauled CLI

Moonrepo has released moon v2.0, its first major update since v1, featuring a plugin-based toolchain system and support for multiple configuration formats including JSON and TOML. The CLI has been restructured, enhancing task inheritance and Docker integration. Notable changes include a shift in architecture and improvements to VCS support.

By Daniel Curtis

Scaling Social Systems in Software Organizations

Fast-scaling teams must rebuild trust and psychological safety as their social systems expand. Intentional, redundant communication across multiple formats can keep everyone aligned. Cross-team rituals, buddy systems, and rotating facilitators can reduce silos by building bridges between teams. Leaders accelerate this by modeling the vulnerability they want to see.

By Ben Linders

Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks

Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.

By Mark Silvester

Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Changes

Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system prompt verbosity limit that caused a 3% quality drop. The API and model weights were unaffected. All issues were resolved April 20.

By Steef-Jan Wiggers

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