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July 2016 Blog Posts (3)
Going Pro in Data Science
But when real life hits, many data scientists have to work with missing or sketchy information extracted from (multiple) sources in the organization. Data science that works is a messy, trial-and-error process of creating and testing hypotheses, gathering evidence, and drawing conclusions.
Going Pro in… Continue
Added by Michael Levin on July 31, 2016 at 2:17pm — No Comments
Call for proposals: The O'Reilly Design Conference
http://www.oreilly.com/pub/cpc/24650
Added by Michael Levin on July 28, 2016 at 7:55pm — No Comments
Enter for a chance to win!
"The O'Reilly conferences are the gold standard for drawing together a critical mass of thought leaders." —Steve Gillmor, CRN
Link: http://www.oreilly.com/pub/cpc/24305
Added by Michael Levin on July 26, 2016 at 12:39pm — No Comments
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Happy 10th year, JCertif!
Notes
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
How LinkedIn Identified a Kernel Lock Contention Issue Causing Recurring System Freezes
When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recover without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF.
By Sergio De SimoneAzure Logic Apps Adds Sandboxed Code Interpreters to Agent Workflows
Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic Apps as an agent platform for integration alongside Foundry and Copilot Studio.
By Steef-Jan WiggersPresentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage time-series foundation models, and implement rigorous evaluation pyramids to ensure architecture scales effectively in production.
By Aaron EricksonSarang Kulkarni on Lessons from Building Deep Research Agents in Production
Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents.
By Srini PenchikalaPullfrog AI: Open-Source CodeRabbit Alternative Powered by GitHub Actions
Pullfrog is an open-source AI-powered GitHub bot by Colin McDonnell, designed for automation in GitHub Actions. It supports a model-agnostic approach, allowing integration with various LLM providers. Key features include orchestration for pull request reviews, issue triage, and CI remediation, all managed within GitHub's environment. The tool operates with a bring-your-own-key model for access.
By Daniel Curtis
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