GitHub CoPilot Reviews

I primarily use GitHub Copilot for coding and also utilize natural language prompts to get some code suggestions. 

Additionally, I use it after the development team completes their work to check for any vulnerabilities, as it provides a vulnerability report.

In terms of functionality, the code suggestions in GitHub Copilot are particularly helpful for project development. It provides valuable insights into errors during compilation, allowing me to ask within Copilot itself for solutions without needing to search the internet or use platforms like Stack Overflow. This capability makes problem-solving more efficient.

In terms of understanding user queries and providing code that aligns with my expectations, there is room for improvement. Sometimes it requires multiple iterations to get the code I need, like for creating a login page with specific buttons and logic. 

A UI feature for drag-and-drop functionality, along the lines of services provided by Bubble or Wix, integrated with coding prompts, would be more beneficial. This would streamline creating code snippets for common tasks, increasing user satisfaction.

I have been using GitHub Copilot for more than six to eight months.

I would rate the stability of Copilot at eight or nine out of ten. Initially, there were some setup problems, but after that, it has been stable.

GitHub Copilot's support could improve by having a community and more detailed onboarding to encourage users to adopt the solution.

Neutral

I frequently use OpenAI's paid version, which offers excellent features, such as analyzing entire zip folders and providing insights. This helps with tasks like comparing different developers' outputs based on high-level requirements, which meet my expectations well.

The initial setup was straightforward. It required activating my account and connecting it, after which everything was seamless. A restart of the IDE ensured the model detection was resolved.

The pricing for GitHub Copilot is around $10 per month. While it offers significant productivity gains, lowering the price to $5 could encourage more users. If the price were lower, it might be more worth it, even if only used a few days a month.

I compared GitHub Copilot to OpenAI, which provides great features like analyzing zip folders and ranking inputs, meeting my requirements better.

On a scale of one to ten, I rate GitHub Copilot around seven to eight. GitHub should offer more competitive pricing and could benefit from incorporating functionalities like providing code analysis for entire zip folders to improve user experience.

I use the solution in my company for information about the user story. It also helps to know how many tests or flows we need to test.

The most valuable skill and characteristic of GitHub CoPilot is that you can find any information in seconds.

The technology offered by the product in the retail industry and banking processes has certain shortcomings, making them areas that can be improved.

I have been using GitHub CoPilot for five months.

It is a scalable solution. Scalability-wise, I rate the solution a seven out of ten.

I think the use, setup, or maybe how we can use the tool depends on how much of your tasks can be done with it. For example, if you can use the tool every day for less than an hour, you can improve your tasks and skills with the tool on a daily basis. In my case, for example, I use Postman every day so I can improve my job and my tasks every day.

I rate the technical support a nine out of ten.

Positive

I have experience with ChatGPT and Vertex AI from Google. I think they are all the same tools coming from different providers. The principal difference between all the tools is the updates. Vertex AI has information from the last year, but GitHub CoPilot may have information for the current year. It all depends on how many updates one can have on a product.

The product's initial setup phase is easy.

The solution can be deployed in a matter of minutes.

The tool saves 25 percent of the time for me.

Speaking about the tool's ability to handle complex coding tasks compared to simpler ones, I would say that you can take care of the flows in Postman and translate them using Selenium or Python, and you can add it to your automation test.

GitHub CoPilot has adapted to the specific languages and frameworks I use, and it offers great assistance. I can say this because if I have one question, I can go to GitHub CoPilot to ask my question, and I find the information I need. I think GitHub Copilot is of great assistance as it can add more information about your work, your job, your task, and your flows, and you can find better answers and better examples day by day.

I rate the tool a nine out of ten.

For example, I participate in a radio show on IT topics. I use OpenAI to prepare the script I will use in the program. So, I need some queries and questions or topics for discussion. I use OpenAI to create AI business scripts tailored to how I want to address the topics. I have used OpenAI to improve my English skills. For example, I have asked for recommendations to enhance this text.

I have used OpenAI to learn how to engage with my clients, daughters, and nephews. For example, they gave me a challenge where we discussed a topic and started asking OpenAI questions to see what responses it generated. On the professional side, I have primarily used it for improving emails, resumes, or other situations. Also, in coding, I remember using it when encountering issues implementing code for an application. I usually start by asking OpenAI before turning to Google or other platforms because it helps me identify the problem faster in specific situations.

In certain instances, OpenAI didn't respond in the expected way. It was in the Power Automate. The responses were more general and didn't address the specific point. There were significant limitations. Typically, the queries I've used it for are relatively small in scope.

I prefer OpenAI over Copilot, which is integrated with coding tools like GitHub, because Copilot seems difficult to use. Copilot's responses are different from what I need to understand the problem. OpenAI has helped me a lot. It hasn't provided direct solutions, but it aids in pinpointing the issue.

Initially, OpenAI is free, but you'll need to pay for it later.

Overall, I rate the solution a 9 out of 10.

Apart from being a DevOps and solution architect, I am also a data analyst. I use GitHub CoPilot when I want to do some analysis and get some exact technical details. I don't have time to always go to my browser and figure out how to implement something, so once I am at work and I have the initial setup done already, I really know what to do and how to go about it. The product is simple to work on since if I have to work on a project, I can do some analysis before developing infographics, making it a really efficient product.

Some of the suggestions provided by GitHub CoPilot are not accurate, making it an area of concern where improvements are required.

I have been using GitHub CoPilot for two years. I use the solution's latest version. I am a customer of GitHub.

Stability-wise, I rate the solution an eight out of ten.

The stability issues in GitHub CoPilot are the same as the ones in GitHub Codespaces. Even with a high-speed internet connection, the product hangs and has some glitches.

Scalability-wise, I rate the solution an eight out of ten since the product's scalability still has a lot of room for improvement.

I haven't contacted the technical support team of GitHub CoPilot since if I face any stability-related issues with the product, I stop or disable it and then enable it, after which it starts working again.

The initial setup of the product is easy.

For deployment, you just need to log in to your GitHub account through your ID, after which GitHub Codespaces automatically connect to GitHub CoPilot to your GitHub account.

The solution is deployed on the cloud.

GitHub CoPilot's deployment process did not take a long time.GitHub CoPilot is a service that is not complex. The deployment process was very fast.

The product offers a free version and a paid version. Whether to choose the product's free version or paid version depends on the size of the company where it will be used. If your company size is going to increase and many people plan to use the product, then GitHub will charge you a certain amount. The account on GitHub I use is free for a year, after which I need to start paying if I want to use the solution. In my company, for some of the users, I have seen that certain payments need to be made to GitHub CoPilot.

Before using GitHub CoPilot, you need to consider what you are working on so that you don't miss what you are trying to achieve. When you are working on professional projects or very important projects for which, it may not be a good idea to use GitHub CoPilot. You should have good knowledge of what you are doing.

I rate the overall product an eight out of ten.

We use GitHub CoPilot to have ideas on how to code things and then bring them back to context.

GitHub CoPilot has good stability and performance.

GitHub CoPilot’s integration with other solutions could be improved.

I have been using GitHub CoPilot for a long time.

I rate GitHub CoPilot ten out of ten for stability.

GitHub CoPilot is a scalable solution.

We have seen a return on investment with GitHub CoPilot.

I am using the latest version of GitHub CoPilot. GitHub CoPilot is deployed on-cloud in our organization. I would recommend GitHub CoPilot to other users.

Overall, I rate GitHub CoPilot ten out of ten.

The product's most valuable feature is vulnerability management features.

GitHub CoPilot's alerting features need improvement.

We have been using GitHub CoPilot for 3 years.

The product has high stability.

We haven't encountered scalability issues as we are still in the process of onboarding more applications. However, it might be beneficial once we transition to the cloud.

Around 50 developers from our organization use GitHub CoPilot daily. However, most developers still use Azure DevOps.

We used Azure DevOps. We decided to switch to CoPilot for advanced security features.

The initial setup is easy. It takes a few days to complete. I rate the process a 9 out of 10.

Our in-house team of developers implemented the platform. At the moment, a team of 30 developers is maintaining it.

GitHub CoPilot has greatly enhanced coding efficiency for new projects, particularly through its advanced security features.

The platform offers a comprehensive package, including firewall capabilities. You don't need to download additional applications or purchase separate solutions for security testing and vulnerability management.

I rate it a 9 out of 10.

We use GitHub CoPilot for syntax purposes. It helps me a lot when I forget my mistakes.

The solution's most valuable features are context awareness, multi language support, integration with popular IDs like Visual Studio Code or JetBrains, and reduced coding time.

The solution provides good code completion and code generation. We have a learning aid in the framework for learning purposes. For prototyping, the tool has prototyping ideas in the core structures, which is very helpful. The solution helps me with testing and debugging.

Multi-language support is also available in GitHub CoPilot. Visual Studio Code or JetBrains can be seamlessly integrated to work with CoPilot, which is helpful. The code quality of the solution will help me reduce my coding time when we do complex things. Overall reliance on GitHub CoPilot reduced the manual coding skills. All those things will help me a lot while using GitHub CoPilot.

The solution's accuracy and relevance could be improved. My application may not be very accurate, but that is one reason we should carefully review and modify the code. If you take the code generated by the tool bluntly, it will give you a different kind of error. The solution's dependency on AI reduces manual coding skills.

Regarding licensing and copyright issues, we should be cautious about the solution's potential to embed code snippets that are very similar to our copyrighted code. We cannot take any chances with copyright issues.

I have been using GitHub CoPilot for the last one year.

I rate the solution’s stability a seven out of ten.

I rate the solution’s scalability an eight out of ten.

The solution’s initial setup is easy.

The solution's installation may take around 20 minutes.

GitHub CoPilot is less expensive than other solutions.

GitHub CoPilot does not require much maintenance. The solution has reduced our coding time and manual work by 10% to 30%.

Overall, I rate the solution a seven out of ten.

The solution is quite useful for simple tasks. The document generation features are valuable.

The suggestions provided by the product must be improved.

I have been using the product for two months.

I rate the tool's stability a nine out of ten.

I rate the tool’s scalability an eight out of ten.

The initial setup is quite simple.

Overall, I rate the tool a nine out of ten.