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Experimental AI-powered cloud-based development environment introduces previews on mobile platforms and templates for Astro, Go, Node.js, and Python.
Amazon simplifies writing Lambda functions in C# with features like Lambda Annotations, which uses C# source generators to generate code from a REST API path. Support for .NET 8 is coming soon.
AWS researchers have published a paper that pitches a proprietary LLM-based debugger, dubbed Panda, against OpenAI’s GPT-4.
AppCAT application and code assessment tool helps to identify issues .NET applications may have when moved to the Azure cloud.
Microsoft is laying the groundwork for a hardware-accelerated Azure cloud with its own custom AI silicon, Arm server processors, virtualization offload, and more.
Hardware-backed confidential computing in Microsoft Azure now includes protected environments for VMs, containers, and GPUs, without the need to write specialized code.
From GPU support to reference implementations, the latest updates to Azure Container Apps combine Microsoft’s commitment to developer productivity with its latest AI development tools.
At AWS re:Invent, the company announced significant AI advancements that may make AWS a leader in generative AI.
Now available at crates.io, the AWS SDK for Rust provides access to some 300 AWS cloud services, each with its own Rust crate.
Microsoft’s cloud-based AI development environment, now in public preview, takes a more streamlined approach to building AI-powered applications.