Ensuring reliable and scalable context management in production environments is one of the most persistent challenges in applied AI systems. As organizations move from experimenting with large language models (LLMs) to embedding them deeply into real applications, context has become the dominant bottleneck. Accuracy, reliability, and trust all depend on whether an AI system can…
Many organizations are under pressure to take their AI agent experiments and proof of concepts out of pilots and into production. Devops teams may have limited time to ensure these AI agents meet AI agent non-negotiable requirements for production deployments, including implementing observability, monitoring, and other agenticops practices. One question devops teams must answer is…
Cloud-native microservices are built for resilience, but true fault tolerance requires more than automatic retries. In complex distributed systems, a single failure can cascade across multiple services, databases, caches or third-party APIs, causing widespread disruptions. Traditional retry mechanisms, if applied blindly, can exacerbate failures and create what is known as a retry storm, an exponential…
If you look at Microsoft as a collection of product lines, it is easy to conclude that Windows 11 and Azure occupy different universes. One is a client operating system that has irritated its users, confused administrators, and pushed hardware refresh cycles in ways many customers did not want. The other is a hyperscale cloud…
With Microsoft now releasing stable updates to its Visual Studio Code editor weekly instead of just monthly, VS Code Versions 1.112 and 1.111 recently have been released, featuring capabilities such as agent troubleshooting, integrated browser debugging, and Copilot CLI permissions. Also featured is the deprecation of VS Code’s Edit Mode. VS Code 1.112  was released…
CX Teams Are Stuck In The Measurement Trap, Real-Time Intelligence Is The Exit  CX Today Go to Source Author:
The National Observer: Companies use new office designs to drive employee engagement  The Business Journals Go to Source Author:
The most dangerous data problems don’t trigger alerts or cause catastrophic failures. They look fine on the surface until the business realizes the damage they’ve done. AI-assisted development has increased in popularity, however, and this approach is only making the problem worse. Consider a dashboard built for workforce capacity planning. The person building the tool…
