Blog features

Browse articles that include the features tag

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First look: The new Agile planning experience in GitLab Learn about new capabilities, including a brand-new framework, that will support a more unified and flexible user experience – and find out what's coming next. Author: Melissa Ushakov Read Post
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Monitor application performance with Distributed Tracing

Learn how Distributed Tracing helps troubleshoot application performance issues by providing end-to-end visibility and seamless collaboration across your organization.

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Top tips for efficient AI-powered Code Suggestions with GitLab Duo

Explore best practices for using Code Suggestions and how to combine it with our other AI features to greatly improve the developer experience (includes real-world exercises).

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Combine GitLab webhooks and Twilio for SMS alerts on DevSecOps platform

Configure GitLab webhooks with SMS alerts to instantly get feedback on new and existing issues within a project and enable teams to react quickly to project- and group-level changes.

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Developing GitLab Duo: Blending AI and Root Cause Analysis to fix CI/CD pipelines

Discover how we've infused Root Cause Analysis with AI to help remedy broken CI/CD pipelines, including example scenarios and take-away exercises.

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Developing GitLab Duo series

Our unique blog series, written by our Product and Engineering teams, takes you behind the scenes of our AI innovation and guides you through our newest AI features powering your DevSecOps workflow.

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Inside look: How GitLab's Test Platform team validates AI features

Learn how we continuously analyze AI feature performance, including testing latency worldwide, and get to know our new AI continuous analysis tool.

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GitLab native secrets manager to give software supply chain security a boost

GitLab is building a secrets manager that is key to providing an end-to-end, cloud-agnostic approach to the management of sensitive information.

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Developing GitLab Duo: How we are dogfooding our AI features

As part of our blog series, we share real-world examples of how we integrate AI throughout our software development lifecycle and how we use metrics to gauge their success.

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Developing GitLab Duo: AI Impact analytics dashboard measures the ROI of AI

Our blog series continues spotlighting a new feature that provides detailed metrics, such as the Code Suggestions Usage Rate, to help understand the effectiveness of AI investments.

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