More Podcasts by InfoQ episodes
Published 25 Mar 2026
Duration: 00:54:31
Challenges in operationalizing agentic AI systemsblending microservices, ML, and autonomyinclude security risks, architectural gaps, observability issues, and balancing innovation with ethical, scalable, and sustainable implementation.
Are you ready for your new non-deterministic co-workers? Autonomous agents promise to help build, operate, and run software systems, but they can also...
The podcast explores the challenges of deploying AI in production environments, emphasizing the gap between experimental AI models and their operationalization. It introduces agentic systemsa novel domain blending microservices, traditional machine learning, and autonomous decision-makingwhich present unique complexities such as non-deterministic logic and inter-agent coordination. Examples highlight agentic use cases like autonomous incident response systems and non-agentic ones like deterministic chatbots, underscoring the need for distinct approaches to design and safety. Security risks, including prompt injection, API key leaks, and supply chain vulnerabilities, are prioritized, alongside the necessity for boundary definitions and risk management frameworks to prevent unintended actions in autonomous systems.
Operational and architectural challenges include ensuring observability in dynamic agent workflows, redefining software development lifecycles to accommodate autonomous systems, and balancing innovation with standardization. The discussion also addresses the shift in human roles from passive users to stewards of AI outputs, emphasizing accountability, ethical considerations, and the importance of explainability in complex agent behaviors. Open-source innovation and platform evolution are highlighted as critical for scalability, with a focus on cost efficiency, sustainability, and early experimentation to avoid overreliance on unproven technologies. Future trends point toward tighter AI-hardware integration, cross-organizational agent communication, and a growing need for standardized governance to manage the rapid expansion of agentic systems.
11 May 2026 From Java EE to Quarkus and LLMs: Adam Biens Playbook for Boring, FutureProof Systems
A veteran Java developer highlights preferences for minimal dependencies, critiques enterprise Java's complexity, advocates for Quarkus' lightweight design over Spring, emphasizes Java EE standards, legacy BCE patterns, and Java's stability in AI/LLM integration and cloud challenges.
4 May 2026 Roq: Leveraging Quarkus to Build Static Sites at the Speed of Go
Java's resurgence is fueled by performance gains, modern frameworks like Quarkus, and native compilation, exemplified by Rooka lightweight static site generator leveraging Quarkus for dynamic rendering, Markdown content, and streamlined workflows, with future AI integration and open-source advancements.
27 Apr 2026 A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel
Challenges in deploying AI from proof-of-concept to production highlight engineering gaps, with QuestDB's three-tier storage (real-time, query, archival) and Java/C++/Rust optimizations enabling scalable time-series data handling, though facing Java warmup, code generation, and hardware integration hurdles.
20 Apr 2026 Engineering Stable, Secure and Scalable Platforms: A Conversation with Matthew Liste
Systems engineering and software development's evolution emphasizes hands-on learning, mentorship, and intuitive experience, while addressing AI's impact on apprenticeships, balancing abstraction with deep system understanding, managing risks in high-stakes sectors, navigating innovation-stability trade-offs, scaling complex systems, evolving engineer roles, customer feedback loops, fostering continuous learning and collaboration, and prioritizing craftsmanship, systemic thinking, and the synergy between technical precision and practicality.
13 Apr 2026 How SBOMs and Engineering Discipline Can Help You Avoid Trivys Compromise
Strengthening mobile app security beyond minimal standards, leveraging Software Bill of Materials (SBOM) to address supply chain risks under legislative mandates like U.S. Executive Orders and the EU's Cyber Resilience Act, and utilizing tools such as Cyclone DX and SPDX for dependency tracking, compliance, and mitigating supply chain attacks through improved tooling and practices like OIDC authentication.