Huawei CodeArts Alternatives

4.8(33 Ratings)

Considering alternatives to Huawei CodeArts? See what this market Huawei CodeArts users also considered in their purchasing decision. When evaluating different solutions, potential buyers compare competencies in categories such as evaluation and contracting, integration and deployment, service and support, and specific product capabilities.

Check out real reviews verified by Gartner to see how Huawei CodeArts compares to its competitors and find the best software or service for your organization.

Reviewed in Last 12 Months

How Alternatives Are Selected

1. GitLab

4.4

GitLab has completely unified our development lifecycle. Previously, we jumped between different tools for repositories and CI/CD. Now, having source code management, pipelines, and container registry in one place has drastically improved the velocity of our team. It is a solid platform, updated very frequently, with excellent documentation. Central hub for our daily engineering work.Read all insights and reviews for GitLab

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2. Bitbucket

4.5

Bitbucket has been a positive force in the innovation space where security, auditability and controlled access are critical. Bitbucket integrates well with our CI/CD pipelines and supports strong governance, through performance and UX limitations occasionally impacting developer productivity.Read all insights and reviews for Bitbucket

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3. GitHub

4.6

Honestly, switching our main automation test framework over to GitHub has been a total game changer for my team. I've used a lot of older tools in the past, but nothing matches the reliability and convenience GitHub offers. Sorting all our Java and Selenium test code in one spot means everyone's on the same page and collaboration just happens more smoothly. I'm a big fan of pull requests too, it really streamlines code reviews for our scripts, making it so simple to track feedback and improvements. Plus. Having a clear, well-organized history of every single change brings real peace of mind. If anything ever goes sideways, it is so easy to revert back to a version that we know works. And then there is the Agent, this is not the basic auto complete tool from a year ago. Now, I just ask it to handle tasks like refactoring page objects or generating new test suites for specific cases, and it coordinates updates across various files. When running in agent mode, it even takes things a step further by executing the tests in the terminal. And if something fails, it tries to troubleshoot and sort it out on its own until everything passes. That level of self-healing really does feel like having an extra set of hands on the team If I'm dealing with a flaky test or a weird timeout in my REST Assured code, I just tag the agent. It digs into the logs to find out what went wrong and actually points out possible fixes. There was even a time last month when it noticed a race condition in our framework that I'd probably have spent hours, maybe even a whole day trying to isolate on my own. The amount of time it saves me, both in writing and debugging scripts, has made this the MVP in our current toolset.Read all insights and reviews for GitHub

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4. Red Hat Ansible Automation Platform

By IBM (Red Hat)

4.6

Overall, my experience with Ansible has been positive. It's reliable for automating repetitive infrastructure. It's reliable for automating repetitive infrastructure and deployment tasks, and once things are set up properly, it saves a lot of time and reduces manual errors in day to day DevOps work.Read all insights and reviews for Red Hat Ansible Automation Platform

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5. Azure DevOps

4.4

Honestly, having everything under one roof in Azure DevOps has been a massive change for our team. Managed to get all our dev and test code into Azure DevOps Git repos and it just makes version control so much smoother since it is all linked. We use the Sprint Boards daily to track our progress from the dev side over to the test side and it is great because I can see exactly which user story a bug belongs to without jumping between tools. Managing the PBIs and features in the same place where we write our test plans just makes the lifecycle feel very connected. The way Azure Test Plans and Pipelines talk to each other is easily the best part for me. Since our test plans are right there, we can trigger our pipelines and see the results update our test suites automatically. It is so much better than the old way of manually updating the spread sheets or the test cases or trying to sync up different platforms. I can create a bug directly from a failed test run in the pipeline and it automatically links the logs and the specific PBI we were testing. It gives our team a single source of truth which has really helped with our sprint planning and making sure we don't miss any edge cases. It's also not perfect all the time because when you have so much data in one place the interface can get a little overwhelming. Sometimes, it feels like there is a big of a lag when I am trying to load a large backlog or a complex test plan with hundreds of cases. Also, permission management is still a bit of a headache, just like it was with the agents, because there are so many levels of access across boards and repos. But overall, I would never go back to using separate tools for everything. Having the requirements and the test code in one place just makes us way more efficient, especially when we’re trying to hit those tight sprint deadlines.Read all insights and reviews for Azure DevOps

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6. Harness

4.6

Our overall experience with Harness has been great -we were their 4th customer and the platform has become a key part of our DevOps and delivery strategy, providing both technical capabilities and clear business value. We make extensive use of the Harness IDP which has significantly improved the developer experience through well-designed self-service workflows and better standardisation across teams. The ability to abstract complexity while still enabling flexibility has been a major win for us. Harness CI and CD have proven to be robust, scalable and easy to adopt, helping us accelerate delivery while maintaining strong governance and visibility. We have seen strong results from Harness STO and SCS which have helped us embed security earlier in the pipeline and improve overall security posture without slowing delivery down. These capabilities align well with our shift-left security goals. Historically we have seen great success with CCM which delivers clear cost visibility, optimisation and better cloud cost control spend. Overall, Harness continues to demonstrate strong innovation and a clear understanding of modern engineering needs. Read all insights and reviews for Harness

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7. Octopus Deploy

By Octopus Deploy

4.6

We utilize Octopus Deploy for continuous deployment, and it aligns perfectly with our operational requirements. A standout feature is it's ability to manage multiple environments and handle variables seamlessly across them. Because the platform simplifies variable injection, complex scripting is unnecessary. Furthermore, it allows us to promote releases between environments efficiently and without friction. The roll back functionality is also simple, we just need to select the last known good release and deploy to the environment. Read all insights and reviews for Octopus Deploy

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8. AWS CloudFormation

By Amazon Web Services (AWS)

4.4

Overall experience is good with AWS CloudFormation, which is powerful, secure and cost-effective for our AWS environments. DevOps pipelines tightly integrated with AWS services.Read all insights and reviews for AWS CloudFormation

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