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Automation and AI

GitLab AI Guide For Enterprise Leaders

GitLab AI Guide For Enterprise Leaders

Is code written by AI more efficient or less trusted? If you worry about the implications of AI use in software development, explore this guide on using AI for coding with GitLab. What You Will Learn Download this ebook to discover: How AI is becoming an essential...

How GitLab Embraces AI to Transform DevSecOps Processes

How GitLab Embraces AI to Transform DevSecOps Processes

From resolving security vulnerabilities to maintaining productivity amidst context switching, software developers must overcome many challenges in their day-to-day work. Manually dealing with every issue that comes their way can result in delays. GitLab Duo, a suite...

A Preparedness Guide for the Era of AI

A Preparedness Guide for the Era of AI

There is no denying the increasing number of businesses that are integrating AI into the workplace. However, business leaders must understand how to do this successfully.  As a Microsoft partner, we can prepare you for the era of AI and help you achieve business...

4 Questions Leaders Need to Answer to Accelerate AI Adoption

4 Questions Leaders Need to Answer to Accelerate AI Adoption

The rise of Artificial Intelligence has led many businesses to reevaluate their operations. Can AI create better workflows or more efficient results? Dive into this eBook to explore the questions business leaders are asking about AI adoption.  What You Will Learn In...

How AI is Reshaping Software Engineering and Automation

How AI is Reshaping Software Engineering and Automation

The integration of artificial intelligence (AI) into software engineering and automation is revolutionizing the software industry. This integration is enhancing how teams develop, deploy, and manage software.  Our team is sharing how transformative the impact of AI is...

Reducing Toolchain Overload for Agile Software Teams

Reducing Toolchain Overload for Agile Software Teams

Agile teams are under constant pressure to deliver high-quality products quickly.  Unfortunately, the increasing number of tools teams rely on can become overwhelming.  These teams need tools for version control, testing, deployment, project management, collaboration,...

Why an Automated Development Process Benefits Developers

Why an Automated Development Process Benefits Developers

Automated development, rather than just automated builds, offers a more holistic approach to automating the development process including building, testing and deployment. It is the cornerstone of Continuous Integration (CI). CI uses a model of small incremental...

Streamlining Issue Creation and Transitions in Jira with STM

Streamlining Issue Creation and Transitions in Jira with STM

Jira’s flexibility and ease-of-use make it a go-to platform for project and issue management.  However, repetitive tasks like creating and transitioning issues can become time-consuming for its users.  Fortunately, Redmoon Software has created an ​​Atlassian...

Measuring the Impact of AI on Product and Development Teams

Measuring the Impact of AI on Product and Development Teams

Generative AI is transforming the software development industry, enabling teams to develop, secure, and operate software more efficiently. GitLab is no exception. Its AI-powered suite, GitLab Duo, aims to optimize workflows across the entire software delivery...

Three Levels of Automated Time Tracking in Jira

Three Levels of Automated Time Tracking in Jira

The Atlassian Marketplace offers over 300 time-tracking apps, and if you aren’t tracking those apps yourself, you might easily miss a trend that is occurring across all of them.  The trend of automated time tracking. This dream of having timesheets be all-knowing and...