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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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AI Strategies for Software Engineering Career Growth

Honeycomb

Space.com sums up the Big Bang as our universe starting with an infinitely hot and dense single point that inflated and stretchedfirst at unimaginable speeds, and then at a more measurable rate […] to the still-expanding cosmos that we know today, and thats kind of how I like to think about November 2022 for junior developers.

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Finding a New Software Developer Job

Henrik Warne

For the first time ever, I was laid off, and had to find a new software developer job. In it I wrote down things to think about before an interview, in a format that is easy to review quickly. Before an interview, I would review what I had written down, so I would be able to come up with good examples.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems. An overview.

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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? Learn about the actual goal and values hidden under the surface of Test-Driven Development. What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. It is a vehicle to drive development. TDD and the Values of XP.

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The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

Data 167
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use. Verisk also has a legal review for IP protection and compliance within their contracts. You can create a decoupled architecture with reusable components.