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Integrating Cypress: A Practical Guide to Streamlining Your Development Process

Perficient

In the final installment of our series on Cypress, we explore how to integrate this powerful testing tool into your development workflow. By incorporating Cypress into your continuous integration and deployment (CI/CD) processes, you can automate testing, improve code quality, and accelerate deployment cycles.

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DevOps Engineer vs Software Engineer

The Crazy Programmer

The maintenance and development of software involve many different areas. It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. With today’s article, all confusion will move on, so without wasting a second, let’s start. Role of Software Engineer.

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4 Reasons Why Coding Interviews Are Broken

Hacker Earth Developers Blog

But I work for a company whose flagship product for sale is a coding interview tool. We can hope that with the release of coding interview tools in the market like FaceCode , recruiters will have the means to interview candidates the right way. Spoiler alert: I’m not a coder. And I’ve never had a coding interview.

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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

This article was written by Alwayne Powell, the Senior Digital Marketing Manager at 8×8 contact centre and communication platform. The Transformation of Dev Roles Cloud-nativity has transformed the role and responsibilities of software development teams. But as the software world matures, so do customer expectations.

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Will Artificial Intelligence Replace Programmers?

The Crazy Programmer

So, let’s discuss this crucial topic in this article and understand if it is true or not. If we discuss traditional programming, the software development process begins by deciding the product’s technical specifications. Also, the development phase requires multiple testing and deployment efforts.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1] What is model debugging? That’s where model debugging comes in.