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Lessons from the field: How Generative AI is shaping software development in 2023

CIO

Generative AI has forced organizations to rethink how they work and what can and should be adjusted. Specifically, organizations are contemplating Generative AI’s impact on software development. Their insights help answer questions and pose new questions for companies to consider when evaluating their AI investments.

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Atlassian Delivers on Generative AI Promise for DevOps and ITSM

DevOps.com

Atlassian's generative AI capabilities are now generally available across its Jira and Confluence suite of tools for managing IT and DevOps workflows.

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Harness Brings Generative AI Capabilities to DevOps Workflows

DevOps.com

Harness today added a raft of generative artificial intelligence (AI) capabilities to its continuous integration/continuous delivery (CI/CD) platform as part of a larger effort to reduce the level of manual toil that today conspires to create DevOps bottlenecks.

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Will Generative AI Succeed Where AIOps Failed?

DevOps.com

Generative AI can go so many places that AIOps could never, and provides a general-purpose approach that can be applied in many different ways.

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How Generative AI Can Streamline Code Documentation

DevOps.com

Generative AI is set to benefit the documentation and transformation of legacy code and potentially create new documentation in parallel with new builds.

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Harnessing Generative AI for Feature Management Testing

DevOps.com

Generative AI is revolutionizing the way we create testing environments and feature management within DevOps workflows.

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4 Things to Consider When Integrating Generative AI

DevOps.com

SaaS companies are integrating generative AI capabilities into their products and services. However, in the race to join the hype, many companies are building first and strategizing later.