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1 week ago

Amazon SageMaker Unified Studio launches support for remote connection from Kiro IDE Today, AWS announces the ability to remotely connect from Kiro IDE to Amazon SageMaker Unified Studio. This new capability allows data scientists, ML engineers, and developers to leverage their Kiro setup - including its spec-driven development, conversational coding, and automated feature generation capabilities - while accessing the scalable compute resources of Amazon SageMaker. By connecting Kiro to SageMaker Unified Studio using the AWS toolkit extension, you can eliminate context switching between your local IDE and cloud infrastructure, maintaining your existing agentic development workflows within a single environment for all your AWS analytics and AI/ML services. SageMaker Unified Studio, part of the next generation of Amazon SageMaker, offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (Open-Source Software). Starting today, you can also use your customized local Kiro setup - complete with specs, steering files, and hooks - while accessing your compute resources and data on Amazon SageMaker. Since Kiro is built on Code-OSS, authentication is secure via IAM through the AWS Toolkit extension, giving you access to all your SageMaker Unified Studio domains and projects. This integration provides a convenient path from your local AI-powered development environment to scalable infrastructure for running workloads across data processing, SQL analytics services like Amazon EMR, AWS Glue, and Amazon Athena, and ML workflows - all with enterprise-grade security including customer-managed encryption keys and AWS IAM integration. This feature is available in all Regions where Amazon SageMaker Unified Studio is available. To learn more, refer to the SageMaker user guide.

🆕 AWS now connects Kiro IDE to Amazon SageMaker Unified Studio, letting data scientists use Kiro's tools with SageMaker's compute, all in one place for smooth analytics and AI/ML workflows.

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1 week ago

Amazon SageMaker Unified Studio launches support for remote connection from Kiro IDE Today, AWS announces the ability to remotely connect from Kiro IDE to Amazon SageMaker Unified Studio. This new capability allows data scientists, ML engineers, and developers to leverage their Kiro setup - including its spec-driven development, conversational coding, and automated feature generation capabilities - while accessing the scalable compute resources of Amazon SageMaker. By connecting Kiro to SageMaker Unified Studio using the AWS toolkit extension, you can eliminate context switching between your local IDE and cloud infrastructure, maintaining your existing agentic development workflows within a single environment for all your AWS analytics and AI/ML services. https://aws.amazon.com/sagemaker/unified-studio/, part of the next generation of Amazon SageMaker, offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (Open-Source Software). Starting today, you can also use your customized local Kiro setup - complete with specs, steering files, and hooks - while accessing your compute resources and data on Amazon SageMaker. Since Kiro is built on Code-OSS, authentication is secure via IAM through the AWS Toolkit extension, giving you access to all your SageMaker Unified Studio domains and projects. This integration provides a convenient path from your local AI-powered development environment to scalable infrastructure for running workloads across data processing, SQL analytics services like Amazon EMR, AWS Glue, and Amazon Athena, and ML workflows - all with enterprise-grade security including customer-managed encryption keys and AWS IAM integration. This feature is available in all Regions where Amazon SageMaker Unified Studio is available. To learn more, refer to the https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/local-ide-support.html

Amazon SageMaker Unified Studio launches support for remote connection from Kiro IDE

Today, AWS announces the ability to remotely connect from Kiro IDE to Amazon SageMaker Unified Studio. This new capability allows data scientists, ML engineers, an...

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1 month ago

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models

Amazon Bedrock now supports reinforcement fine-tuning delivering...

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1 month ago

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents

Deploy AI agents with confidence using new quality evaluations and policy control...

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2 months ago

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models

Amazon Bedrock now supports reinforcement fine-tuning delivering...

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2 months ago

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents

Deploy AI agents with confidence using new quality evaluations and policy control...

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2 months ago

Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.

Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models

Access fully managed foundation models from leading providers like Google, Kimi AI, Mi...

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3 months ago

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models

Amazon Bedrock now supports reinforcement fine-tuning delivering...

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3 months ago

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.

Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents

Deploy AI agents with confidence using new quality evaluations and policy control...

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3 months ago

Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.

Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models

Access fully managed foundation models from leading providers like Google, Kimi AI, Mi...

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4 months ago

Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities in coding, tool handling, and long-horizon tasks, with improvements in memory management, context processing, and industry-specific applications across finance, research, and cybersecurity sectors.

Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents

Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities ...

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4 months ago

Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search Amazon Nova Multimodal Embeddings is a new state-of-the-art embedding model available in Amazon Bedrock. It is the industry’s first embedding model that supports text, documents, images, video, and audio through a single unified model, enabling cross-modal retrieval and semantic search applications with leading accuracy, at industry-leading costs.

Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search

Amazon Nova Multimodal Embeddings is a new state-of-the-art embeddi...

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4 months ago

Amazon Bedrock Data Automation supports additional formats for video and faster processing for images Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codecs, enabling you to generate structured insights across a broader range of video content. Additionally, BDA delivers up to 50% faster image processing. BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With support for AVI, MKV, and WEBM formats, you can now analyze content from archival footage, high-quality video archives with multiple audio tracks and subtitles, and web-based and open-source video content. This expanded video format and codec support enables you to process video content directly in the formats your organization uses, streamlining your workflows and accelerating time-to-insight. With faster image processing on BDA, you you can extract insights from visual content faster than ever before. You can now analyze larger volumes of images in less time, helping you scale your AI applications and deliver value to your customers more quickly. Amazon Bedrock Data Automation is available in 8 AWS regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Sydney), US West (Oregon) and US East (N. Virginia), and GovCloud (US-West) AWS Regions. To learn more, see the https://docs.aws.amazon.com/bedrock/latest/userguide/bda.html and the https://aws.amazon.com/bedrock/pricing/ page. To get started with using Bedrock Data Automation, visit the https://us-west-2.console.aws.amazon.com/bedrock/home?region=us-west-2#overview.

Amazon Bedrock Data Automation supports additional formats for video and faster processing for images

Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codec...

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4 months ago

Amazon Bedrock Data Automation supports additional formats for video and faster processing for images Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codecs, enabling you to generate structured insights across a broader range of video content. Additionally, BDA delivers up to 50% faster image processing. BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With support for AVI, MKV, and WEBM formats, you can now analyze content from archival footage, high-quality video archives with multiple audio tracks and subtitles, and web-based and open-source video content. This expanded video format and codec support enables you to process video content directly in the formats your organization uses, streamlining your workflows and accelerating time-to-insight. With faster image processing on BDA, you you can extract insights from visual content faster than ever before. You can now analyze larger volumes of images in less time, helping you scale your AI applications and deliver value to your customers more quickly. Amazon Bedrock Data Automation is available in 8 AWS regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Sydney), US West (Oregon) and US East (N. Virginia), and GovCloud (US-West) AWS Regions. To learn more, see the Bedrock Data Automation User Guide and the Amazon Bedrock Pricing page. To get started with using Bedrock Data Automation, visit the Amazon Bedrock console.

🆕 Amazon Bedrock Data Automation now supports AVI, MKV, WEBM formats and AV1/MPEG-4 codecs for video, plus 50% faster image processing, enabling broader video insights and quicker visual content analysis. Available in 8 AWS regions.

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4 months ago

DeepSeek-V3.1 model now available in Amazon Bedrock AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.

DeepSeek-V3.1 model now available in Amazon Bedrock

AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight m...

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4 months ago

Qwen models are now available in Amazon Bedrock Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures to support diverse use cases including advanced code generation, multi-tool business automation, and cost-optimized AI reasoning.

Qwen models are now available in Amazon Bedrock

Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to acc...

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5 months ago

Amazon SageMaker notebook instance now supports Amazon Linux 2023 Today, we are excited to announce that Amazon SageMaker notebook instance supports https://aws.amazon.com/linux/amazon-linux-2023. You can now choose Amazon Linux 2023 for your new Amazon SageMaker notebook instance to take advantage of the latest innovations, enhanced security features. https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html are fully managed Jupyter Notebooks with pre-configured development environments for data science and machine learning. Data scientists and developers can use SageMaker Notebooks to interactively explore, visualize and prepare data, and build and deploy machine learning models on SageMaker. Amazon Linux 2023 (AL2023) is a general-purpose rpm-based Linux distribution and successor to Amazon Linux 2 (AL2). Amazon Linux 2023 simplifies operating system management through its secure, stable, and high-performance runtime environment. This Linux distribution follows a predictable two-year major release cycle with five years of long-term support. The first two years provide standard support with quarterly security patches, bug fixes, and new features, followed by three years of maintenance. Enhanced security features include SELinux support and FIPS 140-3 validation for cryptographic modules. With this you now have the options to launch a notebook instance with AL2023 or AL2. For more details about this launch and instructions on how to get started with AL2023 notebook instances, please refer to the https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html.

Amazon SageMaker notebook instance now supports Amazon Linux 2023

Today, we are excited to announce that Amazon SageMaker notebook instance supports https://aws.amazon.com/linux/amazon-linux-2023 You can now choose Amazon Linux 2023 for your new A...

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5 months ago

Amazon SageMaker notebook instance now supports Amazon Linux 2023 Today, we are excited to announce that Amazon SageMaker notebook instance supports Amazon Linux 2023. You can now choose Amazon Linux 2023 for your new Amazon SageMaker notebook instance to take advantage of the latest innovations, enhanced security features. Amazon SageMaker notebook instances are fully managed Jupyter Notebooks with pre-configured development environments for data science and machine learning. Data scientists and developers can use SageMaker Notebooks to interactively explore, visualize and prepare data, and build and deploy machine learning models on SageMaker. Amazon Linux 2023 (AL2023) is a general-purpose rpm-based Linux distribution and successor to Amazon Linux 2 (AL2). Amazon Linux 2023 simplifies operating system management through its secure, stable, and high-performance runtime environment. This Linux distribution follows a predictable two-year major release cycle with five years of long-term support. The first two years provide standard support with quarterly security patches, bug fixes, and new features, followed by three years of maintenance. Enhanced security features include SELinux support and FIPS 140-3 validation for cryptographic modules. With this you now have the options to launch a notebook instance with AL2023 or AL2. For more details about this launch and instructions on how to get started with AL2023 notebook instances, please refer to the Amazon Linux 2023 documentation.

🆕 Amazon SageMaker notebook instances now support Amazon Linux 2023, offering enhanced security, SELinux, FIPS 140-3, and a stable runtime environment. Choose AL2023 for your SageMaker notebooks for the latest innovations and long-term support.

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5 months ago

Cohere’s Embed v4 multimodal embeddings model now available on Amazon Bedrock Amazon Bedrock now offers Cohere Embed v4, the latest state-of-the-art multimodal embedding model from Cohere that produces high-quality embeddings for text, images, and complex business documents. This powerful addition to Amazon Bedrock enables enterprises to build AI applications with frontier search and retrieval capabilities. Traditional embedding models often struggle to understand complex multimodal business materials, such as business presentations and sales and financial reports, requiring extensive data pre-processing pipelines. Embed v4 addresses this challenge by natively processing documents with tables, graphs, diagrams, code snippets, and even handwritten notes. The model handles real-world imperfections such as spelling errors and formatting issues, eliminating the need for time-consuming data cleanup and helping you surface insights from previously difficult-to-search information. With support for over 100 languages, including Arabic, English, French, Japanese, and Korean, Embed v4 enables global organizations to seamlessly search for information, breaking language barriers. The model is also fine-tuned for industries such as finance, healthcare, and manufacturing, delivering superior performance on specialized documents including financial reports, medical records, and product specifications. Cohere Embed v4 is available for on-demand inference in US East (N. Virginia), Europe (Ireland), and Asia Pacific (Seoul), and can be accessed from select public AWS Regions through cross-region inference. Review thehttps://docs.aws.amazon.com/bedrock/latest/userguide/models-regions.html for complete regional availability. To get started, visit the https://signin.aws.amazon.com/signup?request_type=register to request model access. For more information, refer to the https://aws.amazon.com/bedrock/cohere/ and https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-cohere.html.

Cohere’s Embed v4 multimodal embeddings model now available on Amazon Bedrock

Amazon Bedrock now offers Cohere Embed v4, the latest state-of-the-art multimodal embedding model from Cohere that produces high-quality embeddings for text, images, and ...

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5 months ago

Cohere’s Embed v4 multimodal embeddings model now available on Amazon Bedrock Amazon Bedrock now offers Cohere Embed v4, the latest state-of-the-art multimodal embedding model from Cohere that produces high-quality embeddings for text, images, and complex business documents. This powerful addition to Amazon Bedrock enables enterprises to build AI applications with frontier search and retrieval capabilities. Traditional embedding models often struggle to understand complex multimodal business materials, such as business presentations and sales and financial reports, requiring extensive data pre-processing pipelines. Embed v4 addresses this challenge by natively processing documents with tables, graphs, diagrams, code snippets, and even handwritten notes. The model handles real-world imperfections such as spelling errors and formatting issues, eliminating the need for time-consuming data cleanup and helping you surface insights from previously difficult-to-search information. With support for over 100 languages, including Arabic, English, French, Japanese, and Korean, Embed v4 enables global organizations to seamlessly search for information, breaking language barriers. The model is also fine-tuned for industries such as finance, healthcare, and manufacturing, delivering superior performance on specialized documents including financial reports, medical records, and product specifications. Cohere Embed v4 is available for on-demand inference in US East (N. Virginia), Europe (Ireland), and Asia Pacific (Seoul), and can be accessed from select public AWS Regions through cross-region inference. Review the Amazon Bedrock Model Support by Regions guide for complete regional availability. To get started, visit the Amazon Bedrock console to request model access. For more information, refer to the Cohere product page and documentation.

🆕 Amazon Bedrock's Cohere Embed v4 is a top-tier multimodal model for text, images, and documents. It supports over 100 languages, aiding global enterprises in advanced search and retrieval, available in select regions.

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5 months ago

Amazon Bedrock now available in the Israel (Tel Aviv) Region Beginning today, customers can use Amazon Bedrock in the Israel (Tel Aviv) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the https://aws.amazon.com/bedrock/ and see the https://docs.aws.amazon.com/bedrock/latest/userguide/models-regions.html for more details.

Amazon Bedrock now available in the Israel (Tel Aviv) Region

Beginning today, customers can use Amazon Bedrock in the Israel (Tel Aviv) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as ...

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5 months ago

Amazon Bedrock now available in the Asia Pacific (Thailand, Malaysia, and Taipei) Regions Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Thailand), Asia Pacific (Malaysia), and Asia Pacific (Taipei) regions to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the https://aws.amazon.com/bedrock/ and see the https://docs.aws.amazon.com/bedrock/latest/userguide/models-regions.html for more details.

Amazon Bedrock now available in the Asia Pacific (Thailand, Malaysia, and Taipei) Regions

Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Thailand), Asia Pacific (Malaysia), and Asia Pacific (Taipei) regions to easily build and...

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5 months ago

Amazon Bedrock now available in the Middle East (UAE) Region Beginning today, customers can use Amazon Bedrock in the Middle East (UAE) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the https://aws.amazon.com/bedrock/ and see the https://docs.aws.amazon.com/bedrock/latest/userguide/models-regions.html for more details.

Amazon Bedrock now available in the Middle East (UAE) Region

Beginning today, customers can use Amazon Bedrock in the Middle East (UAE) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as ...

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5 months ago

Amazon Bedrock now available in the Asia Pacific (Thailand, Malaysia, and Taipei) Regions Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Thailand), Asia Pacific (Malaysia), and Asia Pacific (Taipei) regions to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

🆕 Amazon Bedrock now available in Thailand, Malaysia, and Taipei for building generative AI apps using foundation models and tools. Visit the Amazon Bedrock page for more details.

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5 months ago

Amazon Bedrock now available in the Israel (Tel Aviv) Region Beginning today, customers can use Amazon Bedrock in the Israel (Tel Aviv) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

🆕 Amazon Bedrock is now available in Israel (Tel Aviv) for building and scaling generative AI apps using foundation models and tools. Visit the Amazon Bedrock page for more details.

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5 months ago

Amazon Bedrock now available in the Middle East (UAE) Region Beginning today, customers can use Amazon Bedrock in the Middle East (UAE) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

🆕 Amazon Bedrock is now available in the UAE, enabling users to build and scale generative AI apps using foundation models and tools. Visit the Amazon Bedrock page for more details.

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5 months ago

Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities in coding, tool handling, and long-horizon tasks, with improvements in memory management, context processing, and industry-specific applications across finance, research, and cybersecurity sectors.

Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents

Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities ...

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5 months ago

Amazon Nova Act extension: Build and test AI agents within your IDE We’re excited today to announce the Amazon Nova Act extension - a tool that transforms how you build with Nova Act by bringing the entire agent development experience directly into IDEs like Visual Studio Code, Kiro, and Cursor. The Nova Act extension consolidates natural language based script creation, granular scripting precision, and robust browser testing into a single, unified user interface, eliminating the need to switch between multiple tools across development, validation, and iteration. The Nova Act extension is built on top of the Nova Act SDK, available in research preview since March 2025. The Nova Act extension addresses feedback we have received from developers and consolidates the agent development lifecycle, from ideation to production, into one unified user interface within your IDE. The Nova Act extension is available today from your IDE’s extension marketplace. The https://github.com/aws/nova-act-extension includes documentation and examples to get started. Learn more about the Nova Act extension and see the Nova Act extension in action https://aws.amazon.com/blogs/aws/accelerate-ai-agent-development-with-the-nova-act-ide-extension.

Amazon Nova Act extension: Build and test AI agents within your IDE

We’re excited today to announce the Amazon Nova Act extension - a tool that transforms how you build with Nova Act by bringing the entire agent development experience directly into IDEs like Visu...

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5 months ago

Amazon Nova Act extension: Build and test AI agents within your IDE We’re excited today to announce the Amazon Nova Act extension - a tool that transforms how you build with Nova Act by bringing the entire agent development experience directly into IDEs like Visual Studio Code, Kiro, and Cursor. The Nova Act extension consolidates natural language based script creation, granular scripting precision, and robust browser testing into a single, unified user interface, eliminating the need to switch between multiple tools across development, validation, and iteration. The Nova Act extension is built on top of the Nova Act SDK, available in research preview since March 2025. The Nova Act extension addresses feedback we have received from developers and consolidates the agent development lifecycle, from ideation to production, into one unified user interface within your IDE. The Nova Act extension is available today from your IDE’s extension marketplace. The Nova Act GitHub repository includes documentation and examples to get started. Learn more about the Nova Act extension and see the Nova Act extension in action at our blog post.

🆕 Amazon Nova Act extension now lets you build and test AI agents directly in IDEs like VS Code, Kiro, and Cursor, consolidating script creation, precision, and browser testing in one unified interface, available today from IDE marketplaces.

#AWS #AmazonMachineLearning

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AWS News(Unofficial)

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5 months ago

DeepSeek-V3.1 model now available in Amazon Bedrock AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.

DeepSeek-V3.1 model now available in Amazon Bedrock

AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight m...

#AWS #AmazonBedrock #AmazonMachineLearning #Announcements #ArtificialIntelligence #Featured #Launch #News #OpenSource #Serverless

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Posts tagged #AmazonMachineLearning