News For Dev-ops

Today, AWS announces the AWS AI League 2026 Championship, expanding its flagship AI tournament with new challenges and doubling the prize pool to $50,000 for builders to compete and innovate. AI League transforms how builders use AWS AI services through gamified competition centered on solving real world business challenges. The program provides participants with a quick orientation, then focuses on tournaments with two challenge tracks: the Model Customization challenge using Amazon SageMaker AI to fine-tune foundation models for specific domains, and the Agentic AI challenge using Amazon Bedrock AgentCore to build intelligent agents that can reason, plan, and execute complex tasks. Enterprises can apply to host internal tournaments and receive AWS credits, creating environments where teams collaborate and compete while building AI solutions relevant to their specific business needs. Individual developers can participate at AWS Summits, testing their abilities against peers while ...

Written by Destiny Hillis (Software Engineer II) , Rachel Johnson (Software Engineer II) , Tempest van Schaik (Principal Data Scientist) , and Yvonne Radsmikham (Senior Software Engineer) . Introduction This year, we’ve been trying to use AI to improve our efficiency as software engineers and data scientists who build AI. We’re aiming for Hyper-Velocity Engineering (HVE) , which is a high-performance, AI-accelerated approach to software that enables expert, multi-disciplinary teams to deliver production-quality outcomes at high speed, amplifying productivity, and unlocking high-ROI innovation. In a recent initiative, our team at ISE collaborated with a healthcare organization to develop an AI solution that streamlines workflow for care staff supporting people with severe health ailments.  We were excited to see Copilot rolled out to so many Microsoft products recently, especially Github Copilot for VSCode, where it could assist us with the development process. We had access to Copi...

A customer was writing a Win32 program and was looking for something like a combo box, in that it gave the user a choice among various fixed options, but sometimes the program would come up with a new option that wasn't on the list, and it would want to show that as the selection. On the other hand, the customer didn't want to give the user the option to enter arbitrary text. Users still had to choose among the fixed items in the combo box or the new option that was generated on the fly. The customer didn't want to add the new option to the dropdown list, which means that the CBS_ DROP­DOWN­LIST style would not be appropriate, since that forces the selection to come from the list. What they wanted was for the combo box to act like a traditional combo box with edit control, except that the user can't change the text in the edit control. The solution here is to make the edit control read-only. You can get the edit control handle by calling Get­Combo­Box­Info and then ...

We're thrilled to announce the release of ASP.NET Core OData 10.0.0 Preview 1 , a major modernization update that embraces .NET's native System.DateOnly and System.TimeOnly types! This release upgrades to .NET 10.0 and replaces OData's proprietary Edm.Date and Edm.TimeOfDay CLR wrapper types with .NET's native structs. Microsoft.AspNetCore.OData 10.0.0-preview.1 What's Changed Framework & Dependency Updates .NET 10.0 Support ASP.NET Core OData now targets .NET 10.0 , taking advantage of the latest runtime performance improvements and language features. OData Library 9.x and Model Builder 3.x Integration This release updates OData dependencies to align with the latest OData .NET ecosystem: OData Library (ODL) : 9.0.0-preview.2 → 9.0.0-preview.3 OData Model Builder : 2.0.0 → 3.0.0-preview.1 This coordinated release ensures seamless integration between ASP.NET Core OData and OData Model Builder, providing a unified and consistent experience when bu...

[alert type="tip" heading="Tips"]In today’s rapidly evolving DevSecOps landscape, the need for real-time visibility into developer activity and security events has never been more critical. GitHub, as a central platform for code collaboration, generates a wealth of audit log data that can provide deep insights into repository changes, user actions, and potential security threats. However, these logs are often underutilized due to lack of native visualixation. To address this gap, Microsoft has introduced a powerful integration strategy that streams GitHub audit logs into Azure Log Analytics using a lightweight, low-latency pipeline. This blog explores the key observability trends, challenges, and strategic rationale behind this integration, and how it aligns with enterprise security goals.[/alert] Key Observability Trends Around GitHub Security Modern enterprises are increasingly adopting DevSecOps practices, integrating security into every phase of the developme...