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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? Learn about the actual goal and values hidden under the surface of Test-Driven Development. What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. It is a vehicle to drive development. TDD and the Values of XP.

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What is SAFe? A framework for scaling business agility

CIO

An ART is a team comprised of agile teams that, along with stakeholders, develop one or more solutions in a value stream. 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.

Agile 290
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LLMs Demand Observability-Driven Development

Honeycomb

Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. You will ship a “bug fix” that breaks something else.

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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 one of the practices that helps teams gain confidence earlier in the development process. It reduces the cost of testing and supports keeping long-term, high-development velocities. Prerequisites.

Testing 130
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Use radical objectivity to create and retain an inclusive workforce

TechCrunch

A standard executive search process will typically entail significant manual desk research reviewing historical databases that are only as up-to-date as the day each CV was written. This is a potential talent pool that would take more traditional search processes weeks to develop — and that’s before validation.

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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. "I Sikorski explains: "They can build trust very quickly.

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LLMs Demand Observability-Driven Development

Honeycomb

Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. You will ship a “bug fix” that breaks something else.