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Effective Software Testing – A Developer’s Guide

Henrik Warne

I recently finished Effective Software Testing – A Developer’s Guide by Maurício Aniche , and I really liked it. I have been coding for a long time and I think I have been writing pretty good tests for the features I have implemented. The book apparently grew out of lecture notes from a course on software testing.

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Finding a New Software Developer Job

Henrik Warne

For the first time ever, I was laid off, and had to find a new software developer job. It’s quite good, but I didn’t use it much, because I wanted to make sure I did all coding by myself at interviews. In it I wrote down things to think about before an interview, in a format that is easy to review quickly.

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Are you ready for MLOps? 🫵

Xebia

The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. Operations ML teams are focused on stability and reliability Ops ML teams have roles like Platform Engineers, SRE’s, DevOps Engineers, Software Engineers, IT Managers.

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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. Finally, it is important to emphasize the Engineering aspect of this pillar. This level of rigor demands strong engineering discipline and operational maturity.

Data 167
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Decoding Code Review and Pull Requests - a handbook for Software Engineers and Tech Leads

A complete handbook on implementing a code review culture in your organization. Written by Elaine Watanabe, it's a practical e-book with useful examples and references, and a must-read for all tech teams.

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Sustainable Software Engineering Through the Lens of Environmental

Xebia

Did you know that sustainable software engineering is a topic we frequently discuss and engage with? However, our conversations predominantly revolve around the economic dimension, such as optimizing costs in cloud computing, or the technical dimension, particularly when addressing code maintainability. The best part?

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. Document Section Targeting - Reference specific sections when the information location is relevant - Example: "In Section [X] of [Document Name], what are the steps for [specific process]?"