Optimizing Hangfire Queues for AI Agent Tasks: 10k QPS Benchmark
Learn how to optimize Hangfire queues for AI agent tasks with concrete scaling patterns, retry policies, and production‑ready monitoring for ASP.NET Core back‑ends.
This archive showcases articles focused on agentic AI, highlighting its limitations, potential, and applications in software engineering. By exploring the successes and pitfalls of agentic AI, developers can better understand how to effectively integrate this technology into their projects, leveraging its capabilities to create more intelligent and responsive systems. Effective implementation of a…
9 articles since Jul 2026
Learn how to optimize Hangfire queues for AI agent tasks with concrete scaling patterns, retry policies, and production‑ready monitoring for ASP.NET Core back‑ends.
Explore how AI orchestration transforms enterprise .NET systems, with Azure AI Foundry, microservice patterns, and concrete production tips for scaling intelligent agents.
Discover production‑ready patterns for Semantic Kernel in Python—prompt caching, context engineering, and hybrid integration with LangChain—to cut costs and boost reliability.
Discover the power of agentic AI with real-world examples and applications. Learn how to build intelligent systems with .NET, Microsoft Semantic Kernel, and more.
Unlock the power of Agentic AI with our comprehensive guide, covering AI Agents in .NET, Microsoft Semantic Kernel, and Building AI Agents with C#. Discover the benefits of Agentic AI Certification and how to get started.
Discover how to build agentic AI with .NET and Microsoft Semantic Kernel, and learn best practices for developing multi-agent systems in C#. Explore real-world examples and case studies of AI orchestration in .NET for agentic AI.
Discover the power of Agentic AI in .NET and C# and learn how to leverage it for business growth. Get the Agentic AI book PDF free download and start building AI agents today.
Discover the power of agentic AI with a free course and certificate, and learn how to build AI agents with C# and Microsoft Semantic Kernel.
Discover the key differences between Agentic AI and AI Agents, and learn how to apply them in real-world scenarios. Explore the capabilities and limitations of each approach, and find out how to harness their power in .NET and C#.