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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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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Like someone who monitors and manages these models in production, theres not a lot of AI engineers out there, but a mismatch between supply and demand. The second area is responsible AI.

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The Top 20 Symptoms of a Weak Development Team

TechEmpower CTO

When speaking with founders and CEOs, we often hear concerns like this: My project manager is losing confidence in the development team. I think that poor communication and differing team cultures might be part of the problem, but how can I know for sure? And in the software world, an A player is worth 10+ C players!

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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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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.

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Are you ready for MLOps? 🫵

Xebia

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production? Big part of the reason lies in collaboration between teams. What a waste!

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Top 10 Soft Skills for Software Developers in 2022

The Crazy Programmer

There was a time when the companies evaluated the performance of a software engineer based on how quickly they delivered the tasks. But, 2022 is a different scenario in software development teams. Today called developers, professional software engineers are aware of the importance of soft skills.