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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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Devs gaining little (if anything) from AI coding assistants

CIO

Coding assistants have been an obvious early use case in the generative AI gold rush, but promised productivity improvements are falling short of the mark — if they exist at all. Many developers say AI coding assistants make them more productive, but a recent study set forth to measure their output and found no significant gains.

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AI coding assistants wave goodbye to junior developers

CIO

Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the software development roles, including security and compliance reviews, he predicts. “At

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Green Software Foundation: On a mission to decarbonize software

CIO

Good coding practices for performance and efficiency have been part of software engineering since the earliest days. These emissions include both the energy that physical hardware consumes to run software programs and those associated with manufacturing the hardware itself. How do we even know it’s green?

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New AI assistant threatens software engineering jobs

InfoWorld

San Francisco-based startup, Cognition AI, is trying to completely rehaul the software engineering landscape through its new AI assistant, Devin. The AI assistant can plan and execute complex engineering tasks, learning from its experiences and rectifying mistakes along the way.

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How to Hire Great Software Engineers – Standards, Tips & More

The Crazy Programmer

Software engineering is one of the most sought-after careers in the current labor market in today’s world of digital transformation and technological advancement, where the demand for specialized technical skills is constantly increasing, and the need for developing custom software solutions flourishes.

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Is there a natural contradiction within AI-driven code in cloud-native security?

CIO

AI-generated code promises to reshape cloud-native application development practices, offering unparalleled efficiency gains and fostering innovation at unprecedented levels. This dichotomy underscores the need for a nuanced understanding between AI-developed code and security within the cloud-native ecosystem.