Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
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DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…
How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation
LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline tha…
Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn ho…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
Article: The Self-Building Agent: A LangChain4j Experiment
The article discusses an experiment where a code assistant had to design an agentic system using LangChain4j documentation. The assistant created a…
How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages
GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating persona…
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not…
Article: The AI Productivity Paradox in Test Automation: Moving Beyond Structural Validation to Perception and Intent
The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales struct…