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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Quality Assurance, Errors, and AI

O'Reilly Media - Ideas

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. But what about AI? All Hail the QA Engineer.” That’s a given.

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AI and Software Development: The Formula for Success

Perficient

Introduction In the rapidly evolving software development landscape, Artificial Intelligence (AI) has emerged as a transformative force, redefining traditional methodologies, and significantly enhancing productivity.

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5 ways QA will evaluate the impact of new generative AI testing tools

InfoWorld

In a recent article about upgrading continuous testing for generative AI , I asked how code generation tools , copilots, and other generative AI capabilities would impact quality assurance (QA) and continuous testing. To read this article in full, please click here

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Future AI Trends in Software Development

Invid Group

Future AI Trends in Software Development BY: INVID It is clear that our daily lives have been impacted by artificial intelligence (AI), which has changed the way we shop, communicate, and even drive. Current AI Trends in Software Development AI is already pervasive in many facets of software development today.

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How to manage data integration during an acquisition

CIO

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. The use of AI will only continue to rise, making this capability crucial for decision-making.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.