Michael Levin's Blog – May 2009 Archive (6)

Open Source Bridge

I'm Attending Open Source Bridge - June 17–19, 2009 - Portland, OR



Open Source Bridge is a new conference for developers working with open source technologies. It will take place June 17-19 in Portland, OR, with five tracks connecting people across projects, languages, and backgrounds to explore how we do our work, and why we participate in open source. The conference structure is designed to provide developers with an opportunity to learn from people they might not connect with at… Continue

Added by Michael Levin on May 20, 2009 at 11:30am — No Comments

JSR Watch: Here’s to Progress

Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curran



http://java.ulitzer.com/node/965152





JSR Watch: Here’s to Progress



And here’s to the next 10 years!

By Patrick Curran



May 15, 2009 03:00 PM EDT

Reads: 560



The end of the year is an opportunity to review the past year's activity, and to present this to our Executive Committee (EC)… Continue

Added by Michael Levin on May 19, 2009 at 8:30pm — No Comments

All About Scala



Thanks to Carol for pointing this… Continue

Added by Michael Levin on May 15, 2009 at 10:30am — No Comments

On breadth vs. depth of technical knowledge...

What language should you learn? How about operating systems? Wondering what framework to add to your bag of tricks? Check out Jeff Thalhammer's blog to read one man's view. What do you think?

Added by Michael Levin on May 14, 2009 at 1:30pm — No Comments

Grooveshark Internship

Grooveshark is arguably the coolest place to work in the Swamp.

Added by Michael Levin on May 8, 2009 at 12:00pm — No Comments

The Instructables



I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the rage. Pointed to the… Continue

Added by Michael Levin on May 8, 2009 at 9:30am — No Comments

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Notes

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InfoQ Reading List

Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale

Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward self-optimizing systems at hyperscale.

By Craig Risi

Presentation: The Next Generation of AI Products

Hilary Mason shares her journey from academia to building AI products at scale. She discusses the shift from discrete engineering to probabilistic mindsets, explaining why managing "human considerations" is the hardest part of the stack. She explains the "existential crisis" for engineers, arguing that great architecture today is about context management, systems thinking, and good taste.

By Hilary Mason

Vitest 4.1: Test Tags, Native Node.js Execution and AI Agent Reporter

Vitest 4.1, developed by VoidZero, enhances JavaScript testing with features like test tags for filtering and configuring tests, an experimental mode to bypass Vite's module runner, and new lifecycle hooks. It supports Vite 8 from the start. Notably, it reports improvements in performance compared to Jest. The release addresses issues and provides guides for migration.

By Daniel Curtis

Article: Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload

Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.

By Nik Kale

Broadcom Donates Velero to CNCF, Shifting Kubernetes Backup to Community Governance

Broadcom has announced the contribution of Velero, its Kubernetes-native backup, restore and migration project, to the Cloud Native Computing Foundation (CNCF) as a Sandbox project. Velero It operates at the Kubernetes API layer, capturing cluster state through Custom Resource Definitions (CRDs) rather than through hypervisor or storage-layer snapshots.

By Matt Saunders

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