Remove AWS Remove Software Development Remove System Design
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Vibe Coding: Shaping the Future of Software

Hacker Earth Developers Blog

It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code. AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains.

Software 130
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A collaborative online diagram board to help you seamlessly conduct system design interviews

Hacker Earth Developers Blog

System design interviews are an integral part of tech hiring and are conducted later in the interview process. System design interviews help you assess a candidate’s ability to design complex systems and understand their thought process for creating real-world products. What are system design interviews? .

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A collaborative online diagram board to help you seamlessly conduct system design interviews

Hacker Earth Developers Blog

System design interviews are an integral part of a tech hiring process and are conducted later in the interview process. System design interviews are for assessing a candidate’s ability to design complex systems and understand their thought process for creating real-world products. Integrating draw.io

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The road to Software 2.0

O'Reilly Media - Data

Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Yes, but so far, they’re only small steps. and Matroid.

Software 337
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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

By doing this, clients and servers can scale independently, making it a great fit for serverless orchestration powered by Lambda, AWS Fargate for Amazon ECS, or Fargate for Amazon EKS. The dedicated MCP server in this example is running on a local Docker container, but it can be quickly deployed to the AWS Cloud using services like Fargate.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

An AWS Batch job reads these documents, chunks them into smaller slices, then creates embeddings of the text chunks using the Amazon Titan Text Embeddings model through Amazon Bedrock and stores them in an Amazon OpenSearch Service vector database. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning - AI

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.