What do you like best about Azure DevOps Labs?
What I like best about Azure DevOps Labs is that it provides a practical way to learn Azure DevOps instead of only reading documentation. The labs are well structured and easy to follow, so even developers who are new to Azure DevOps can understand concepts like Git repositories, Azure Boards, Pipelines, and CI/CD with real examples.
The UI is clean and user-friendly, and the step-by-step guidance makes it easy to complete each lab. I also like that Azure DevOps integrates seamlessly with Visual Studio, GitHub, Azure services, and other Microsoft tools, making it easier to understand real-world development workflows.
The overall performance is reliable, and the lab environment is responsive, allowing me to focus on learning instead of troubleshooting setup issues. From a pricing and ROI perspective, the hands-on experience helps developers build practical DevOps skills that can be directly applied in real projects, making it a valuable learning resource. Microsoft also provides excellent documentation, tutorials, and community support, which makes onboarding much easier.
On the AI side, Azure DevOps is gradually introducing intelligent features such as AI-assisted code suggestions, work item insights, and productivity improvements through Microsoft Copilot integration. While Azure DevOps Labs itself is mainly focused on hands-on learning, it helps developers understand and adopt these AI-powered capabilities more effectively in real-world DevOps workflows.
Overall, Azure DevOps Labs is an excellent platform for learning modern DevOps practices and gaining practical experience that can be applied in day-to-day software development. Review collected by and hosted on G2.com.
What do you dislike about Azure DevOps Labs?
One thing I dislike about Azure DevOps Labs is that some labs can become outdated when Azure DevOps introduces new features or UI changes, which may cause slight differences between the instructions and the actual interface. Beginners may also find a few advanced labs challenging without prior knowledge of Azure DevOps concepts.
In some cases, setting up the lab environment or accessing the required Azure resources takes more time than expected. While the integrations with Microsoft products are excellent, support for some third-party tools could be improved to provide more flexibility.
The AI-powered features are still evolving, and I would like to see more intelligent guidance within the labs, such as personalized learning recommendations, automated feedback on lab exercises, or AI-based troubleshooting assistance. Overall, these are minor areas for improvement, and they do not significantly affect the overall learning experience. Review collected by and hosted on G2.com.