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Learnings from Cultivating Machine Learning Engineers as a Team Manager
As an AI team manager, Vivek Gupta stays broadly informed to guide AI experts effectively and drive the team. Engineers need feedback on both technical and interpersonal skills, Gupta mentioned at Dev Summit Boston. He stresses learning time, asking for help, and cross-team collaboration. Mentorship, data handling, and human-in-the-loop validation are key to success for machine learning engineers. By Ben Linders
Article: InfoQ Java Trends Report 2025
This report summarizes how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2025. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities. By Michael Redlich, Erik Costlow, Karsten Silz, Trisha Gee, Marit van Dijk, Richard Fichtner, Bert Jan Schrijver
ASP.NET Core in .NET 10: Major Updates Across Blazor, APIs, and OpenAPI
Microsoft has detailed the major updates to ASP.NET Core arriving as part of last month's .NET 10 release. As reported, this version delivers extensive improvements across Blazor, Minimal APIs, OpenAPI generation, authentication, and general framework performance. By Almir Vuk
Five AI Security Myths Debunked at InfoQ Dev Summit Munich
Katharine Jarmul challenged five common AI security and privacy myths in her InfoQ Dev Summit Munich 2025 keynote: that guardrails will protect us, better model performance improves security, risk taxonomies solve problems, one-time red teaming suffices, and the next model version will fix current issues. She said that current approaches to AI safety rely too heavily on technical solutions. By Karsten Silz
Google Cloud Demonstrates Massive Kubernetes Scale with 130,000-Node GKE Cluster
The team behind Google Kubernetes Engine (GKE) revealed that they successfully built and operated a Kubernetes cluster with 130,000 nodes, making it the largest publicly disclosed Kubernetes cluster to date. By Craig Risi
Presentation: Securing AI Assistants: Strategies and Practices for Protecting Data
Andra Lezza explains the criticality of data security for AI copilots, detailing the OWASP AI Exchange threat model and the OWASP Top 10 LLM risks. She reviews two copilot architectures - independent (single domain) and integrated (multi-tenant) - listing specific threats, controls, and best practices like granular authorization, templates, and DevSecOps to secure the entire AI data supply chain. By Andra Lezza
Podcast: Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil. By Karthik Ramgopal, Prince Valluri
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