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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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Static vs Dynamic Code Analysis: How to Choose Between Them

OverOps

What’s the difference between static and dynamic code analysis, and how do you know which to use? Static code analysis is analogous to practicing your baseball swing with a practice net and a pitching machine. Static Code Analysis. This is usually done by analyzing the code against a given set of rules or coding standards.

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Agentic AI design: An architectural case study

CIO

Let’s review a case study and see how we can start to realize benefits now. Twelve different scenarios need to be tested against, and the data files need to contain or be able to contain data that will exercise those 12 tests. Instead of directly having the LLM output test records, we would have the LMM output Python code.

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Exercises in Programming Style

Henrik Warne

In the book club at work , we recently finished reading Exercises in Programming Style by Cristina Videira Lopes. So here is a summary and review of it. The inspiration is a book from the 1940s by the French writer Raymond Queneau called Exercises in Style. Organization. Instead, they receive input and produce output.

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TechCrunch+ roundup: No-code MVP strategy, hiring under scrutiny, A/B growth testing

TechCrunch

Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. 4 practical steps for using no-code to evolve your prototype to an MVP Image Credits: Luis Cagiao Photography (opens in a new window) / Getty Images Forget about dogs: No-code development tools can be a non-technical founder’s best friend.

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The Importance of Assessing Interpersonal Skills in Recruitment

Hacker Earth Developers Blog

Whether a software developer collaborates with product managers or a data scientist works alongside stakeholders to translate business requirements, the ability to communicate effectively is non-negotiable. Bias in group interactions When assessing interpersonal skills through group exercises or discussions, bias can skew results.

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

AWS Machine Learning - AI

The exercise of generating this dataset forces a data alignment exercise early in the evaluation process, raising important questions and conversations among use case stakeholders about what questions are important to measure over time for the business. Let's work this out in a step-by-step way to be sure we have the right answer.