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Vibe Coding: Shaping the Future of Software

Hacker Earth Developers Blog

Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code. However, there are challenges.

Software 130
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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

The possibilities are endless, but one demo particularly caught my attention. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. There were some impressive demos on stage, and I found its prompt adherence and sequence stability particularly impressive when I tried it myself.

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ERP modernization: Still a make-or-break project for CIOs

CIO

We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. The demos [vendors] showed us were, ‘Click here and there and here are the results,’ and it appeared to work that way,” he says.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

DeepSeek-R1 distilled variations From the foundation of DeepSeek-R1, DeepSeek AI has created a series of distilled models based on both Metas Llama and Qwen architectures, ranging from 1.570 billion parameters. Watch this video demo for a step-by-step guide. 8B ) and DeepSeek-R1-Distill-Llama-70B (from base model Llama-3.3-70B-Instruct

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The future of Cloud-native software development with Radius

Xebia

Initially, our industry relied on monolithic architectures, where the entire application was a single, simple, cohesive unit. Ever increasing complexity To overcome these limitations, we transitioned to Service-Oriented Architecture (SOA). The first demo app does not have a database yet, but we will add it later.)