Overview
Product Information on GitHub
Updated 5th July 2023
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Overall experience with GitHub
Software Engineer
250M - 500M USD, SoftwareFAVORABLE
“Collaborative Code Reviews and Self-Healing Tests Improve Code Framework Efficiency”
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.
IT Associate
50M - 250M USD, SoftwareCRITICAL
“Review for Github Enterprise”
GitHub Enterprise has been very useful for our organization's development and collaboration efforts, the platform's powerful features and adaptability made it an indispensable asset for efficient and secure code development, scale-up, delivery as well and management within our organization
Badges
Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
About Company
Company Description
GitHub is a platform where developers, businesses, and organizations collaborate to create and innovate. Offering tools for version control, CI/CD, security, and code review, GitHub helps teams build software efficiently and securely. With GitHub Copilot, developers can leverage AI to receive real-time coding assistance, streamlining their workflows and enabling them to focus on solving complex challenges. The platform supports a wide range of projects, from open source to enterprise, while integrating seamlessly into development processes to foster collaboration and security. As part of Microsoft, GitHub is committed to empowering developers and organizations to bring their ideas to life, working toward the goal of supporting 1 billion developers worldwide.
Company Details
Company type
Public
Year Founded
2008
Head office location
San Francisco, United States
Number of employees
2500 - 4999
Annual Revenue
1B-3B USD
Website
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VP of Product Management
Based on many peer discussions, seemed like GitHub Co-pilot was really the only true AI product teams were using internally. Any other tools people are finding value with on internal side?Senior Vice President, Engineering
See Full DiscussionOther than GitHub Copilot, we have seen developers using Tabnine and Codeium very often with a lot of success. If you are an IntelliJ fan, do check out their custom AI available in their tools like Rover and Fleet.
ChatGPT has been a revolution and probably is as good as any other option available today. Feel free to checkout these tools though.
IT Manager
Has anyone had any success with evaluating the impact of using Generative AI tools such as GitHub's Copilot on the productivity or performance impact on developers? I see a lot of qualitative discussions about how developers say they are more productive, but how are you measuring that impact?Group Chief AI Officer & Partner
See Full DiscussionHere is a link to a study where they recruited 95 professional developers, split them randomly into two groups, and timed how long it took them to write an HTTP server in JavaScript.
Research: quantifying GitHub Copilot’s impact on developer productivity and happiness - The GitHub Blog
Result:
The group that used GitHub Copilot had a higher rate of completing the task (78%, compared to 70% in the group without Copilot).
The striking difference was that developers who used GitHub Copilot completed the task significantly faster–55% faster than the developers who didn’t use GitHub Copilot. Specifically, the developers using GitHub Copilot took on average 1 hour and 11 minutes to complete the task, while the developers who didn’t use GitHub Copilot took on average 2 hours and 41 minutes. These results are statistically significant (P=.0017) and the 95% confidence interval for the percentage speed gain is [21%, 89%].
GitHub Reviews and Ratings
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- Software Engineer50M-1B USDSoftwareReview Source
Collaborative Code Reviews and Self-Healing Tests Improve Code Framework Efficiency
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. - CLOUD APPLICATION SECURITY ENGINEERGov't/PS/EdEducationReview Source
GitHub Centralizes DevOps Workflows With CI/CD Integration And Scalable Pull Requests
GitHub has been the backbone of our DevOps workflows for years. Having a single location for our source control, CI/CD workflows, and security scanning has been incredible for simplifying our work. GitHub shines at helping you deploy secure applications quickly, which is our primary goal! - Senior Manager, Ccoe10B+ USDTelecommunicationReview Source
Integration Strengths Noted But Enterprise Managed Users Remain Underdeveloped in GitHub
I have personally used GitHub for over 10 years, and for over 5 years at an enterprise level. I have seen remarkable progress in its functionality, usability, and innovation, often exceeding my expectations, especially for the introduction of GitHub copilot. While some of the governance and control features in GitHub Enterprise Cloud are not quite perfect yet, I remain confident that these gaps will be addressed in future updates. - DEVOPS LEAD10B+ USDEnergy and UtilitiesReview Source
Integration of Actions, Copilot, and Permissions Strengthens Github Platform Experience
Github is just the most modern product I’ve used for repository management, continuous deployment, collaboration and developer metric gathering. The versatility of Github actions continues to shine and your availability of documentation and community examples is a big factor in that. The versatility of Github actions continues to shine and the availability of documentation and community examples is a big factor in that. I also want to commend them on the way organisations can be managed to rollout features selectively to our developers and how rich the fine tuning of permissions assignment can be. - Software Developer<50M USDSoftwareReview Source
A complete and reliable development platform with powerful CI/CD through GitHub Actions.
Overall, GitHub has been an essential part of our development workflow. It’s not just a code repository anymore it feels like a complete development platform. From version control to CI/CD using GitHub Actions, everything is quite well integrated and easy to manage. Personally, I’ve found GitHub Actions to be very useful for automating builds, deployments, and running tests. It simplifies a lot of processes that otherwise require separate tools. The overall experience is smooth, and collaboration across teams is very efficient.
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