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How Testing and Quality Assurance Change Through AI (AI for DevEx, Part 3)

This article, part of the „AI for DevEx“ series, explores the role of AI in software testing and quality assurance. It examines AI’s potential in automating test case generation and UI/end-to-end tests, and reviews tools like ZeroStep and auto-playwright. The piece highlights the integration of testing in the development process and the current best use of AI in supporting test creation and testability. It concludes by anticipating future AI advancements in testing and code reviews.

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Writing and Improving Code with AI (AI for DevEx, Part 1)

In ‚Writing and Improving Code with AI‘, part of the AI for DevEx series, we examine the impact of AI tools like ChatGPT, GitHub Copilot, and AWS CodeWhisperer on software development. The article highlights real-world applications of these tools in code writing, improvement, and testing, underscoring the balance between AI assistance and human expertise in coding.

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Benefits of Collaboration

This article explains why working together as a team is better than working alone most of the time. It discusses how teamwork helps make better decisions, learn faster, and solve complex problems. You’ll also find tips on how to work well in a team and why it’s still okay to work alone sometimes.

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Selling DevEx Initiatives in Purpose vs. Profit-oriented Companies

The article looks at how companies, based on their main focus (either profit or purpose), approach Developer Experience (DevEx). It discusses the challenges and strategies of introducing DevEx initiatives in different company settings. The piece also highlights the importance of understanding a company’s stage and priorities when discussing DevEx. It’s a reflection on the balance between purpose and profit in the tech world.

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Why We Need to Stop Measuring (Developer) Productivity — Part 2

Measuring developer productivity is a flawed endeavor; it often replaces uncertain realities with misleading certainties. While metrics can offer insights, they cannot directly quantify productivity. Instead of seeking elusive measures, focus on understanding and eliminating barriers to engineers‘ best work. After all, nurturing an environment for outstanding work is a more valid approach to enhancing productivity.

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