Codetown
Codetown ::: a software developer's community
Walt Sellers's Discussions
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
GitHub Uses eBPF to Eliminate Deployment Risks and Prevent Circular Failures
GitHub has introduced a new approach to improving deployment safety by leveraging eBPF, enabling the company to detect and prevent hidden circular dependencies that could block recovery during outages.
By Craig RisiPresentation: AI-Powered SRE for Autonomous Incident Response
The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.
By Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, Renato LosioPresentation: Week-Long Outage: Lifelong Lessons
Molly Struve discusses a brutal six-day outage that nearly sank a company. She explains technical lessons like the importance of FMEAs, shadow traffic, and exercising rollback mechanisms. She shares why the human elements - widening your circle early and having a VP who acts as a defender - are what truly build psychological safety.
By Molly StruveLegare Kerrison and Cedric Clyburn on LLM Performance and Evaluations
Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies in organizations. Legare Kerrison and Cedric Clyburn from RedHat team recently spoke at Arc of AI 2026 Conference about practical methods to evaluate and optimize LLM inference.
By Srini PenchikalaArticle: CodeGuardian: A Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning
CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices.
By Madhvesh Kumar, Deepika Singh
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