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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. I would like to thank Tremis Skeete, Executive Editor of Product Coalition, for his valuable contributions to this article's research, development, and writing. Let’s explore how and why this matters.

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Revolutionizing Design with AI-Powered Design Systems

UX Planet

Exploring How AI Will Revolutionize Design System Creation, Maintenance, and Usage Design systems are an important part of every product app or website. They speed up the design process and help designers and developers deliver solutions faster. Soon, the design team will likely need to train an artificial intelligence system.

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Two Development Team Configurations I Lobby Against

Mironov Consulting

1] Dedicated Bug Fixing Teams Sometimes there’s a push to create development teams specifically to close out bugs and defects, especially after frequent outages or to address long-term system neglect.  This " Code creators own quality.*  Here’s my thinking. [1]

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In Pursuit of the Checkered Flag: The Challenge of Developing a Driverless Race Car System

Product Management Unpacked

CMU Master of Science in Product Management program student Erick Valencia landed a PM experience of a lifetime as part of a student team developing a driverless race car system to race in the Indy Autonomous Challenge. His was one of six sub-teams all designing portions of the autonomous driving system. “I

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Top 12 Product Adoption Software in 2024

Userpilot

Product adoption software is the lifeblood of the modern product management process. In this article, we explore what product adoption software does and identify 12 of the best product adoption tools on the market. TL;DR Product adoption software drives users to adopt a product through carefully curated product experiences.

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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.