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Code Evolution: Transforming Software Development with Generative AI Adoption

Becoming Human

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development.

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Code Smarter, Not Harder: Streamline Software Development with Generative AI

Topbots

AI has played a supporting role in software development for years, primarily automating tasks like analytics, error detection, and project cost and duration forecasting. However, the emergence of generative AI has reshaped the software development landscape, driving unprecedented productivity gains.

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Replit brings open source AI developer tools to all users

Flipboard

Developer tooling vendor Replit is out this week with a series of new efforts designed to help bring AI for all developers. Replit’s cloud software development platform is widely used with the company claiming to have over 20 million users. Over the course of the last year, Replit has been …

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Meet the post-AI developer: More creative, more business-focused

Flipboard

We are seeing a massive paradigm shift in software development as a result of generative AI, says Amazon Web Services executive. There is a lot of …

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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant. Training AI models with subpar data can lead to biased responses and undesirable outcomes.

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Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data

Flipboard

But while there’s little question of a seismic sea change these past six months in terms of public awareness, the growing demand for AI could be outpacing the infrastructure required to power the myriad use cases that are emerging — and this is something that German startup Qdrant is looking to address.

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Enterprises must shift their focus from models to data in AI development

Snorkel AI

In my capacity as a machine learning researcher, I’ve observed a profound paradigm shift in the field of AI development. We are transitioning from a focus on the models and algorithms that underpin AI to a greater emphasis on the data that powers these models.