Today, I’m excited to introduce a new capability in Amazon SageMaker Canvas to use foundation models (FMs) from Amazon Bedrock and Amazon SageMaker Jumpstart through a no-code experience. This new capability makes it easier for you to evaluate and generate responses from FMs for your specific use case with high accuracy. Every business has its own set of unique domain-specific vocabulary that generic models are not trained to understand or respond to. The new capability in Amazon SageMaker Canvas bridges this gap effectively. SageMaker Canvas trains the models for you so you don’t need to write any code using our company data so that the model output reflects your business domain and use case such as completing a marketing analysis.…
Tag: Irshad Buchh
Improve developer productivity with generative-AI powered Amazon Q in Amazon CodeCatalyst (preview)
Today, I’m excited to introduce the preview of new generative artificial intelligence (AI) capabilities within Amazon CodeCatalyst that accelerate software delivery using Amazon Q. Accelerate feature development – The feature development capability in Amazon Q can help you accelerate the implementation of software development tasks such as adding comments and READMEs, refining issue descriptions, generating small classes and unit tests, and updating CodeCatalyst workflows — tedious and undifferentiated tasks that take up developers’ time. Developers can go from an idea in an issue to fully tested, merge-ready, running code with only natural language inputs, in just a few clicks. AI does the heavy lifting of converting the human prompt to an actionable plan, summarizing source code repositories, generating code, unit…
Amazon CodeCatalyst introduces custom blueprints and a new enterprise tier
Today, I’m excited to introduce the new Amazon CodeCatalyst enterprise tier and custom blueprints. Amazon CodeCatalyst enterprise tier is a new pricing tier that offers features like custom blueprints and project lifecycle management. The enterprise tier is $20/user per month, and each enterprise tier space gets 1,500 compute minutes, 160 Dev Environment hours, and 64GB of Dev Environment storage per paying user. You can use custom blueprints to define best practices for your application code, workflows, and infrastructure. You can publish these blueprints to your CodeCatalyst space, utilizing them for project creation or applying standards to existing projects. Blueprints help you set up projects in minutes so you can get to work on code immediately. With just a few clicks,…
Amazon CodeWhisperer offers new AI-powered code remediation, IaC support, and integration with Visual Studio
Today, we’re announcing the general availability of artificial intelligence (AI)-powered code remediation and infrastructure as code (IaC) support for Amazon CodeWhisperer, an AI-powered productivity tool for the IDE and command line. Amazon CodeWhisperer is also now available in Visual Studio, in preview. These new enhancements to Amazon CodeWhisperer help to enable faster and more efficient software development by offloading undifferentiated work and delivering more automation, security, efficiency, and accelerated code delivery for customers, and provides this support in more places where developers love to work. AI-powered code remediation – Since its launch, Amazon CodeWhisperer has identified hard-to-find security vulnerabilities with built-in security scans. It now provides generative AI-powered code suggestions to help remediate identified security and code quality issues. Built-in…