Agent Framework is a Python framework for building capable, context-aware AI
agents. It provides a flexible foundation for creating AI agents with distinct
personas, managed instructions, conversational memory, and strategic planning
capabilities.
We’ve been talking about the need for a common “language” for reporting and
observing CI/CD pipelines for years, and finally, we see the first “words” of
this language entering the “dictionary” of observability – the OpenTelemetry
open specification. With the recent release of OpenTelemetry’s Semantic
Conventions, v1.27.0, you can find designated attributes for reporting CI/CD
pipelines.
Bicep is a domain-specific language that uses declarative syntax to deploy Azure resources. In a Bicep
file, you define the infrastructure you want to deploy to Azure and then use that file throughout the
development lifecycle to repeatedly deploy that infrastructure. Your resources are deployed in a
consistent manner.
The team behind the Community Toolkit wanted to create a place where third parties
could contribute their own integrations and extensions to the .NET Aspire ecosystem.
C# 13 fulfills a long standing feature request by allowing params to be any of the
collections supported by collection expressions, rather than just arrays.
Generally, developers think about how the data structures for their programs will be arranged in memory;
it is less common for them to consider how the code is arranged. There are exceptions, including the Linux
kernel developers, but most times the focus is on the data cache. The instruction cache is much smaller
than the data cache and has not grown much over time, maybe doubling from 32KB to 64KB on Intel CPUs over
the last 20 years. But, for large applications that do not spend most of their time in tight loops, the
layout of code in memory matters a lot, so BOLT can make a major difference, he said.
Both memcached and ScyllaDB maximized disks and network bandwidth while being stressed under similar
conditions, sustaining similar performance overall.
The query optimizer is an important part of any analytical database system as it provides considerable
performance improvements compared to hand-optimized queries, even as the state of your data changes.
