InfoQ Homepage Artificial Intelligence Content on InfoQ
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Helidon 4.4.0 Introduces Alignment with OpenJDK Cadence and Support via Java Verified Portfolio
Oracle has released version 4.4.0 of Helidon, their microservices framework, featuring alignment with the OpenJDK release cadence, support via the new Java Verified Portfolio, new core capabilities, and agentic AI support for LangChain4j.
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GitHub Will Use Copilot Interaction Data from Free, Pro, and Pro+ Users to Train AI Models
GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and navigation patterns from active sessions, including private repos. Business and Enterprise tiers are excluded. Community concerns include dark patterns, IP exposure, and GDPR compliance.
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Pinterest Deploys Production-Scale Model Context Protocol Ecosystem for AI Agent Workflows
Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks and integrate diverse internal tools. Domain-specific MCP servers, a central registry, and human-in-the-loop approval improve security, governance, and developer productivity while saving thousands of hours per month.
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Cloudflare Launches Dynamic Workers Open Beta: Isolate-Based Sandboxing for AI Agent Code Execution
Cloudflare has released Dynamic Worker Loader into open beta, offering V8 isolate-based sandboxing for AI-generated code execution. The company claims isolates start in milliseconds, using megabytes of memory, making them roughly 100x faster and up to 100x more memory-efficient than containers. The feature builds on Cloudflare's Code Mode approach.
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QCon London 2026: Team Topologies as the ‘Infrastructure for Agency’ with AI
At QCon London 2026, Matthew Skelton argued that AI success depends on organisational maturity. He highlighted bounded agency, security, and stewardship as key to managing AI agents. By using Innovation and Practices Enabling Teams, companies can drive knowledge diffusion and optimise internal processes to see real-world returns on their AI investments.
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Google Unveils AppFunctions to Connect AI Agents and Android Apps
In a move to transform Android into an "agent-first" OS, Google has introduced new early beta features to support a task-centric model in which apps provide functional building blocks users leverage through AI agents or assistants to fulfill their goals.
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Green IT: How to Reduce the Impact of AI on the Environment
AI poses major challenges for green IT: each query consumes vast energy, GPU chips last only 2-3 years, and costs stay hidden from users. Regulatory frameworks like the EU AI Act fall short on enforcement, Ludi Akue said. In her talk What I Wish I Knew When I Started with Green IT she presented model compression, quantization, and novel architectures, using sustainability as a design constraint.
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Revenium Unveils Tool Registry to Expose the True Cost of AI Agents
Revenium has announced the general availability of its Tool Registry, a new capability designed to give enterprises a complete, end-to-end view of what their AI agents actually cost.
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QCon London 2026: Ethical AI is an Engineering Problem
At QCon London 2026, Clara Higuera, responsible AI program lead at BBVA, presented how many of the risks associated with AI systems are fundamentally engineering challenges rather than purely governance or policy issues.
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QCon London 2026: Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server
Unikraft CEO Felipe Huici demonstrated waking the one-millionth VM on a commodity server in ten milliseconds at QCon London. The talk traced a decade from academic unikernel research to a platform offering stateless scale-to-zero VMs with full isolation. Using Firecracker and VM snapshots, sleeping workloads resume instantly, turning server density from a hardware problem into a scheduling one.
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QCon London 2026: Refreshing Stale Code Intelligence
At QCon London 2026, Jeff Smith discussed the growing mismatch between AI coding models and real-world software development. While AI tools are enabling developers to generate code faster than ever, Smith argued that the models themselves are increasingly “stale” because they lack the repository-specific knowledge required to produce production-ready contributions.
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QCon London 2026: Blurring the Lines: Engineering & Data Teams in the Age of AI
At QCon London 2026, Lada Indra, head of data platform at Pleo, shared insights from his experience across high-scale data systems. He illustrated both the risks of poorly aligned teams and the practical strategies that organizations can adopt to bridge the gap.
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QCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI tech lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
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AI Is Amplifying Software Engineering Performance, Says the 2025 DORA Report
Artificial intelligence is rapidly reshaping the way software is built, but its impact is more nuanced than many organizations expected. The 2025 DevOps Research and Assessment (DORA) report, titled State of AI-Assisted Software Development, finds that AI does not automatically improve software delivery performance.
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QCon London 2026: Behind Booking.com's AI Evolution: the Unpolished Story
Jabez Eliezer Manuel, senior principal engineer at Booking.com, presented “Behind Booking.com's AI Evolution: the Unpolished Story” at QCon London 2026. Manuel discussed how Booking.com has evolved over the past 20 years and the challenges they faced on their journey to incorporate AI.