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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
Presentation: Powering the Future: Building Your GenAI Infrastructure Stack
Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the "LLM-as-a-judge" evaluation strategy, and how to build "tool-ready" APIs for the future.
By Merrin KurianTanStack Details Sophisticated npm Supply Chain Attack That Compromised 42 Packages
TanStack has released a detailed postmortem describing a sophisticated supply-chain attack that compromised 42 npm packages and published 84 malicious package versions in just six minutes, exposing developers and CI/CD systems to credential theft and malware propagation.
By Craig RisiArticle: Kernel-Level Ground Truth: Why eBPF is Replacing User-Space Agents for Security Observability
eBPF is emerging as a preferred method for security observability over traditional user-space agents. By attaching probes directly to the Linux kernel's syscall interface, it provides consistent visibility even during container-level compromises. eBPF reduces security-related CPU consumption and limits data volume by performing filtering at the kernel level, enhancing operational efficiency.
By Niranjan SharmaVite Version 8: Unified Rust-Based Bundler and Up to 30x Faster Builds
Vite 8.0 introduces a significant architectural change, migrating from a dual-bundler setup to a single Rust-based bundler called Rolldown. This update enhances build speeds, reporting reductions from 46 seconds to 6 seconds in some projects. The release includes developer experience improvements and maintains compatibility with the existing plugin ecosystem.
By Daniel CurtisSwiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for improved relevance. It replaces heuristic ranking while maintaining strict latency constraints and enabling continuous model updates from user behavior signals.
By Leela Kumili
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