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Vibe Coding: Shaping the Future of Software

Hacker Earth Developers Blog

Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. The Promise and the Pitfalls I have experienced both sides of vibe coding.

Software 130
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Overcoming the 6 barriers to IT modernization

CIO

For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system.

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5 Key Factors Investors Should Watch In AI This Year

Crunchbase News

Composable AI: Adaptability through modularity AI systems built with modular, interchangeable components known as composable AI are driving a new era of adaptability and efficiency. These architectures allow companies to iterate quickly, customize their solutions and reduce overhead. Illustration: Dom Guzman

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David Patterson Biography

The Crazy Programmer

He is best known for his operating systems, central processing units, and programming languages. David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. 99% of all new chips use RISC architecture since 2018. Final Words.

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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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Self-documenting Architecture

Strategic Tech

I’ve heard the opinion from many technical leaders that it is reasonable to expect a new hire to take upto 6 months to learn about the code, the domain, and the architecture before they become fully productive. I believe that self-documenting architecture would dramatically reduce one of the big costs in software development.

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6 enterprise DevOps mistakes to avoid

CIO

Multicloud architectures, applications portfolios that span from mainframes to the cloud, board pressure to accelerate AI and digital outcomes — today’s CIOs face a range of challenges that can impact their DevOps strategies. Allowing teams to choose tools doesn’t mean each team is given free rein to select any tool they want.

DevOps 214