Curated articles, resources, tips and trends from the DevOps World.
Since its launch, companies have been using Amazon Q Business to improve their employees’ productivity with a generative AI–powered assistant that helps them make better decisions based on company data and information.
Last year at AWS re:Invent, we previewed Amazon Q Developer, a generative AI–powered assistant for designing, building, testing, deploying, and maintaining software across integrated development environments (IDEs) such as Visual Studio, Visual Studio Code, JetBrains IDEs, Eclipse (preview), Jupyt
Amazon Q Developer accelerates large-scale transformation of enterprise workloads with domain-expert generative AI agents supervised by modernization teams in a unified collaborative web experience.
.NET Framework, introduced in 2002, runs only on Windows and although it’s still supported, it’s no longer in active development. However, cross-platform .NET, launched in 2016, is open source, runs on Linux, and is lightweight and higher performing.
The growing complexity of modern software makes troubleshooting difficult, requiring deep knowledge and manual work across various systems. This results in slower problem-solving and less efficient operations.
Amazon Q Developer has transformed the traditional development workflow by integrating a wide range of generative AI capabilities within the environments where developers work from.
Today, in late 2024, CTOs and other enterprise IT leaders view Kubernetes as table stakes. Everyone knows that modern, container-based applications are portable, agile, and efficient — and that Kubernetes is the universally accepted solution to deploy and manage them at scale.
Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock.
Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations.
Today, we’re announcing the multi-agent collaboration capability for Amazon Bedrock (preview). With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills.
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