The article describes the development of a local AI-powered SOC analyst that runs on an M1 MacBook Pro, designed to assist with daily security operations by triaging and analyzing alerts from existing…
The article explains that approximately 80% of Flask applications still use basic `print()` statements or unstructured logging in production, which hinders effective debugging and monitoring despite t…
The client-facing dashboard is dead for outcome-based AI services, replaced by an email-first "Acknowledgment Loop" that measures trust and engagement through client replies. Pull-based dashboards bur…
A common problem in engineering organizations where modern observability stacks coexist with legacy monitoring tools that cannot integrate with them, creating an "observability seam" that requires man…
Anthropic hosted its Code with Claude 2026 event in San Francisco on May 6, unveiling updates including Managed Agents, proactive workflows, and a "capability curve" for Claude Code. Key announcements…
Productivity and infrastructure companies must now design for AI agents as their primary users, not humans, as agents increasingly handle tasks that people once performed manually. Traditional metrics…
AI inference has become the fastest-growing market in technology, projected to reach $250 billion within seven years, surpassing the database market. Companies like Anthropic, Google Cloud, Datadog, a…
This article explains how to use the `MeterListener` type from the `System.Diagnostics.Metrics` APIs to consume and record metric values in-process within a .NET application. The author demonstrates t…
The article explains that when using `foreach` on an `IEnumerable<T>` variable instead of a concrete type like `List<T>`, the C# compiler generates code that allocates heap memory for the enumerator, …