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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. After many years of doing TDD daily, I think part of the reason is that some people do not fully grasp the reasons behind TDD. TDD and the Values of XP.

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What is SAFe? A framework for scaling business agility

CIO

At the Team Level, an organization may have a number of teams working in an agile fashion toward a particular goal or solution. Apply systems thinking into all facets of development. Base milestones on objective estimation and evaluation of working systems to ensure there is an economic benefit.

Agile 291
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5 ways to do Continuously Improved Testing

Xebia

This article helps you challenge your automated testing and to improve upon it in a more continuous fashion. . Test automation is not a project or a one-off—it is part of the development lifecycle and should be seen as its own system that needs to evolve over time as the requirements and system under test change and mature.

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Use radical objectivity to create and retain an inclusive workforce

TechCrunch

For example, are you using gender-coded or inclusive-coded language to attract inclusion-minded people? This means you no longer need to rely on simplistic “bias checker” software, which tends to be based on outdated research with few controls on data integrity. Remember, the best candidates have options.

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Software project management challenges — and how to handle them

CIO

The need for efficient software development has taken on greater importance as enterprises introduce more and more digital services and add automation capabilities to enhance business processes. Managing software projects might not be at the top of CIOs’ priority lists , but it is something that IT leaders will have to master.

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.

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AI's Offensive & Defensive Impacts

Palo Alto Networks

As he bluntly states, "I think this will be short-lived and phishing will take the number one spot again due to AI." 2) Attacking the AI/ML systems themselves through techniques like prompt injection and poisoning training datasets to manipulate the outputs. Sikorski explains: "They can build trust very quickly.