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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

Software development with sustainability in mind is a rising trend in digital spaces. Data centers, a vital component of our digital ecosystem, consume about 2% of global electricity. While software is intangible and doesn’t directly consume energy or produce emissions, its environmental implications lie in its development and usage.

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Continuous Improvement: How It’s Important for Software Developers

The Product Coalition

Continuous improvement is a continual process to improve components of enterprise software?—?processes, processes, tools, products, and services. Regardless of today’s software development aspect, increasing demand for new features in the products makes competitive advantage higher than ever.

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Using Generative AI to Drive Corporate Impact

TechEmpower - Product Management

Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. This AI-centric approach transforms sales into a data-driven field, emphasizing efficiency and personalized customer experiences.

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The Benefits of Leveraging Feature Toggles in Software Development

Split

Feature Toggles, or feature flags as they’re often called, are a powerful tool for software engineers. Feature toggles have become increasingly popular among software developers. This is probably due to their ability to improve agility, accelerate time-to-market velocity, and increase reliability. Take notes!

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Guide to the Software Engineer Career Path

PMLesson's Ace the PM Interview

Trying to better understand the software engineer career path? Want to know what your next steps are as an engineer as you make your way to CTO? An engineering career can go in many different directions depending on your technical skill set and what you want out of a job. We've got your covered.

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Run Less Software

Intercom, Inc.

The same is true in software. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. As well as being a critical philosophy behind how we build software, it also represents how I feel about the software industry and technology in general.

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How to Mitigate Risk in AI Software Development

Split

Mitigating risks in AI software development requires a combination of best practices, careful considerations, and proactive measures. Data Quality and Bias Mitigation Ensure that the training data used to develop AI models is diverse, representative, and free from biases.