Codetown ::: a software developer's community
Time: July 20, 2015 to July 24, 2015
Location: Portland
City/Town: Portland, OR
Website or Map: http://www.oscon.com/open-sou…
Event Type: conference
Organized By: O'Reilly Press
Latest Activity: Mar 10, 2015
OSCON celebrates, defines, and demonstrates the power of open source in the world today. From small businesses to the enterprise, open source is the first choice of IT everywhere.
Open source is now found everywhere--from the bottom of the programming stack to the very top--so we're changing the way we organize these stories at OSCON. We've adopted a more holistic approach, focusing on the following topics as a means to consider and solve critical, real-world problems:
Stay tuned. We'll unveil the preliminary program and open registration in March.
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.
By Patrick Farry
Thariq Shihipar, engineering lead for the Claude Code team, recently published a blog post (Using Claude Code: The Unreasonable Effectiveness of HTML) arguing that HTML, with its richer visualizations, color, and interactivity, improves the productivity of human-agent communication in many settings, especially when compared to default Markdown outputs.
By Bruno Couriol
Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.
By Sergio De Simone
Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.
By Leela Kumili
Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams.
By Naomi Saphra
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