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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-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. However, there are challenges.

Software 130
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Agile Book Club: System Architecture

James Shore

But what about the components that make up a deployed system? Those components and interactions form your system architecture. Evolutionary System Architecture. ?? Discussion prompts: How have you seen teams approach designing system architecture? Reading: ?? About the Book Club.

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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

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Article: Thriving in the Complexity of Software Development Using Open Sociotechnical Systems Design

InfoQ Culture Methods

An organisation designed using open sociotechnical systems theory will be a more humane one where people are more engaged. The amazing progress made in technology has led to blindly following the technical imperative at the cost of the social and human dimension.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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Building a Beautiful Data Lakehouse

CIO

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. This dual-system architecture requires continuous engineering to ETL data between the two platforms. On the other hand, they don’t support transactions or enforce data quality.

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Enabling privacy and choice for customers in data system design

Lacework

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. This is how Lacework puts customers first — by ensuring protection and control of customer data is at the core of our technology and data architecture design.