InfoQ Homepage Presentations
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Achieve Optimal Efficiency for Your Developer Experience Teams
Fabien Deshayes shares how Monzo built a high-impact DevEx team with just three engineers. He explains how treating platform as a product doubled experimentation and slashed decision time by 50%.
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AI Innovation in 2025 and Beyond
Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.
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How WebAssembly Components Enable Safe and Portable Software Extensions
Alex Radovici discusses how WebAssembly components solve the "untrusted code" problem, providing a sandboxed, language-agnostic framework for building high-performance software extensions.
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DevOps Modernization: AI Agents, Intelligent Observability and Automation
The panelists explain how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations.
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Panel: Modern Data Architectures
The panelists emphasize that data engineering is no longer just about "click-and-drag" UI tools; it is software engineering applied to data.
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The Ideal Micro-Frontends Platform
Luca Mezzalira discusses the evolution of micro-frontends, explaining how to scale engineering teams through technical decentralization, business subdomain boundaries, and organizational autonomy.
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Building Embedding Models for Large-Scale Real-World Applications
Sahil Dua explains the architecture and training of embedding models. He shares practical tips for distilling large models and scaling RAG applications for real-time production environments.
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Scaling to 100+ as a Director: Lessons from Growing Engineering Organizations
Thiago Ghisi discusses his journey scaling engineering orgs to 100+ people. He shares a 3-level impact framework and explains how to evolve from a "solver" to a "driver" of organizational growth.
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Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov discusses the power of DataFrames in Java. He compares implementations like DataFrame-EC and Tablesaw against Python’s pandas, focusing on performance and memory efficiency.
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Expanding Swift from Apps to Services
Cory Benfield explains why Swift is a powerhouse for services like Apple’s Private Cloud Compute. He shares how Swift's memory safety and C++/Java interop deliver high-performance, frugal systems.
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Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems
Sarah Usher explains why relying solely on a data warehouse fails at scale. She shares a 3-layer data lifecycle (Raw, Curated, Use Case) to help engineering leaders build flexible, decoupled systems.
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Scaling to 100+ as a Director: Lessons from Growing Engineering Organizations
Thiago Ghisi shares his journey scaling engineering orgs to 100+ people. He explains how to establish operational cadence, manage highs and lows, and use reorgs as a feature to drive execution.
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