Coveros

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AI for Software Professionals: A Must-Have Skillset

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The software development landscape is undergoing a seismic shift. Artificial intelligence (AI) and machine learning (ML) are rapidly transforming how we build, test, and deploy software. How revolutionary of an impact will AI have? It depends on who you ask. While some say AI will make the jobs of engineers and testers obsolete, others say AI is an opportunity to refocus the work of software professionals on areas of critical thinking and strategy.

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GitHub Copilot: Key Features for Testers

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Software testing is essential for ensuring a product works as intended. However, writing thorough tests can be time-consuming and repetitive. This is where GitHub Copilot can be a game-changer. Copilot acts like a coding assistant, suggesting test cases and code snippets specifically tailored to your project. This can significantly boost your testing efficiency and lead to a more stable and reliable software product.

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The Value of a Cross-Functional Team

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One of the seven wastes in any organization is the waste from transportation. Transportation can lead to loss of energy, efficiency, and even loss of material. Transportation does not alter or add value to the product directly. However, it does add to the cost of manufacturing. Similarly, in software development, hand-offs can be just as hindering. During the hand-off from one team to another, there could be loss of energy, efficiency, and information.

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Predicting the Future of AI-Driven Software Testing

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“The robots are coming and they’re going to take our jobs!” The emergence of AI and machine learning has upended how software leaders and practitioners think about their work, creating a mix of panic and excitement across our industry. While software testers are not immune from fear of what AI might mean for their careers, they should look at AI as an opportunity.

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Level Up Your Dev Team: 6 Steps to Drive GitHub Copilot Adoption

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GitHub Copilot is a powerful AI tool that works alongside developers to streamline repetitive tasks and reduce cognitive load so that developers can focus on critical in-depth coding challenges. A recent survey of developers who used Copilot shows how impactful it can be for developers and their organizations. Ninety-four percent of developers surveyed reported writing better code and 90% reported being more fulfilled as a result of using Copilot.

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Why We’re Excited for AI Con USA

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Our newest conference, AI Con USA , is quickly approaching on June 2-7 in Las Vegas – and we couldn’t be more excited! As artificial intelligence (AI) and machine learning (ML) become integral parts of our industry, it’s critical to cut through the noise and understand the true advantages and pitfalls of this transformational technology. If you’ve attended our STAREAST , STARWEST , and Agile + DevOps conferences , AI Con USA’s structure will feel familiar.

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Unraveling GitHub Copilot: Enhancing DevEx and Software Quality

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Imagine this: you’re building a house, and every time you pick up a hammer, a super-smart assistant appears and hands you the exact nail you need next. Now, let’s say this assistant always knows the best way to frame a wall, run electrical, or lay down a tile. Think of how much faster and better you’d build that house! That’s kind of what GitHub Copilot is like for anyone writing computer software.