Podcast
10 articles tagged The InfoQ Podcast.
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This analysis explores strategic shifts in enterprise software architecture, focusing on Java 17 adoption, durable execution patterns, and dependency-minimized data engineering. It examines how AI-assisted development transforms engineering productivity while highlighting the operational necessity of continuous performance tracking. Organizations can leverage these frameworks to reduce infrastructure costs, simplify distributed workflows, and maintain competitive technical velocity.
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Baruch discusses the shift from prompt engineering to context engineering, the evolving role of architects as orchestrators, and the strategic implementation of AI agents in software development. Learn how context artifacts, intent integrity, and microservices drive reliable AI adoption.
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Engineering leaders can bridge the gap between AI proofs-of-concept and production by adopting the Boundary Control Entity pattern and Quarkus. This strategy reduces inference costs by up to 88%, eliminates hallucinations through spec-grounding, and ensures long-term maintainability via zero-dependency principles.
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Quarkus revitalizes Java with native performance, enabling cost-efficient cloud-native development. Rook leverages this for AI-ready static site generation, optimizing developer experience and content infrastructure for future AI consumption.
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QuestDB demonstrates how Java achieves database-grade performance through HFT patterns, tiered storage, and hardware-aware optimization. Insights cover tiered architecture, custom JIT, emerging Java features, and AI-assisted engineering for scalable time-series data systems. Engineering leaders can leverage these strategies to build high-throughput systems without sacrificing maintainability or data portability.
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An analysis of critical system engineering principles focusing on stability, scalability, and security. The discussion explores the intersection of platform engineering and the disruptive impact of AI on technical apprenticeship and observability.
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Explore the critical importance of Software Bill of Materials (SBOMs) as a shift from optional to mandatory compliance in the EU's Cyber Resilience Act. This analysis covers the operationalization of SBOMs for security audits and the risks associated with generic tooling in the CI/CD pipeline.
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An analysis of the shift from basic prompt engineering to sophisticated context engineering. The discussion explores stateful agentic workflows, the implementation of AI skills repositories, and the role of event-driven architecture in scaling AI systems.
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An analysis of Site Reliability Engineering principles, emphasizing resilience over robustness, the critical role of blameless incident reviews, and the limitations of chaos engineering in predicting real-world system failures.
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Agentic AI is transitioning from experimental prototypes to mission-critical production infrastructure. This analysis outlines strategic frameworks for centralized platform engineering, non-deterministic risk management, and token cost optimization. Leaders must balance rapid experimentation with rigorous governance to capture competitive advantage. Early adoption remains essential for market parity.