Articles about Software Engineers

Software engineers love building new features but are spending more time on other things

Bored developer

A new survey of 1,200 software engineers and technology leaders finds that only 33 percent of engineers strongly agree that they spend the majority of their time on work that energizes them. They spend just 16 percent of their week building features, despite 93 percent saying it’s the most rewarding part of their jobs

The study from Chainguard looks at how friction from repetitive maintenance, fragmented tools, and burnout continues to weigh heavily on the developer experience, while also revealing how AI and automation ease workloads to give software engineers more time for meaningful work.

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Software engineers need new skills in the age of AI

Happy developer

AI is transforming software engineering, changing what software engineers do and the skills they need to succeed. A new survey from Uplevel, of over 100 senior engineering leaders at mid-to-large technology companies, looks at what they believe will be the most important skills for their teams.

It finds that validation of AI outputs and quality assurance (QA) is valued highest, cited by 66 percent of leaders, followed by performance monitoring and optimization (39 percent), and system architecture and integration skills (34 percent)

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Get 'Machine Learning Infrastructure and Best Practices for Software Engineers' (worth $35.99) for FREE

Machine-Learning-Infrastructure-and-Best-Practices-for-Software-Engineers

Although creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive.

Machine Learning Infrastructure and Best Practices for Software Engineers will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products. The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core.

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