GitHub Copilot Reviews & Product Details

What I like best about GitHub Copilot is how it accelerates development by generating relevant code, boilerplate, and suggestions directly in the editor. It reduces context switching, improves productivity, and helps maintain consistency across the codebase, especially during repetitive or complex implementation tasks. Review collected by and hosted on G2.com.

The main downside of GitHub Copilot is that suggestions can sometimes be inaccurate or overly generic, requiring careful review. It may also generate unnecessary code if prompts are not precise, and it’s less effective for understanding complex business logic or project-specific context. Review collected by and hosted on G2.com.

The agent mode is quite helpful for coding, as it eliminates the need for copy-pasting. All we have to do is type in our requirements, and it generates the code for us. Our main task is simply to validate the code it produces. Review collected by and hosted on G2.com.

Sometimes, it goes a bit off track when I try to generate documentation for a Java application. It tends to hallucinate and produces information that isn't accurate. Review collected by and hosted on G2.com.

I use GitHub Copilot for the creation and maintenance of automation frameworks. It helps in enhancing methods and optimizing patterns by making them compatible with the framework, following coding standards, and making the created methods reusable throughout pages. I also appreciate the parameterization, which applies as needed and covers all conditions for the best test coverage. The enhancement in framework design is particularly valuable to me, as it ensures that the methods are reusable and adaptable. Review collected by and hosted on G2.com.

It requires more than two or three prompts and sometimes gives general answers not compatible with the existing solution. Wherever a question is asked, the answer should be given and applied based on that. Review collected by and hosted on G2.com.

The seamless integration with VS Code is impressive. I also appreciate the wide range of smart models available, which makes it easy to tackle various tasks, whether it's working on UI, backend, data warehousing, or even simple knowledge exploration. Review collected by and hosted on G2.com.

One drawback is that I can't access image generation features directly within Copilot. Review collected by and hosted on G2.com.

What I like best about GitHub Copilot is how effortlessly it fits into my coding flow. It feels less like an autocomplete tool and more like a coding partner that understands what I’m trying to build. It anticipates the next steps, suggests clean implementations, and helps me move faster without getting stuck on small details. Whether I’m writing boilerplate, exploring new libraries, or tackling more complex logic, Copilot consistently provides useful suggestions that save me time and keep me focused. Review collected by and hosted on G2.com.

The main thing I dislike about GitHub Copilot is that it can sometimes be a bit too eager with its suggestions. Occasionally it generates code that looks correct at first glance but needs adjustments to fit the specific context of my project. It’s not a big issue, but it does mean I have to double-check its output more carefully at times. Also, when working with newer libraries or very project-specific patterns, the suggestions can feel a little generic. Overall, it’s still extremely helpful, but there’s definitely room for improvement in context awareness. Review collected by and hosted on G2.com.

I like using GitHub Copilot for enhancing productivity and improving code quality. It helps me review my code and suggest improvements for making it cleaner and higher performing. I appreciate its ability to understand context by taking in multiple files and finding references across them efficiently. Its context-taking and referencing capabilities, along with a powerful LLM model trained by our own inputs and custom prompts, truly stand out. The ease of setting it up as an extension in VS Code is also a plus. Review collected by and hosted on G2.com.

I find the large code placement in the chat window not possible. When using ask mode, I need explicit code added in the same chat for reference provided to Copilot. Review collected by and hosted on G2.com.

I use GitHub Copilot for backend and frontend development. It helps me identify and interpret bugs faster, improving productivity by reducing the time spent on development tasks. I like that I can choose different types of AI models based on my needs and select how the Copilot works, whether in agent, debug, or ask mode. This feature helps me achieve my goals with fewer prompts, especially when working on different language projects. The setup was easy as GitHub Copilot is very intuitive, though I needed to learn how to build prompts and choose the right AI models. Review collected by and hosted on G2.com.

Sometimes the agent gets stuck and doesn't make it clear for the user whether it's frozen or still thinking. Also, the consumption info could be more detailed. Review collected by and hosted on G2.com.

Copilot is super easy to use and integrate, and it helps me code faster with useful suggestions. I use it almost daily because it reduces repetitive work and keeps me moving. I also like the way it provides me access to different AI models in the premium version. Review collected by and hosted on G2.com.

Sometimes it gives confident but incorrect suggestions, so I still have to double-check things. A few features feel inconsistent, and support can be a bit slow at times. Review collected by and hosted on G2.com.

I use GitHub Copilot for helping in minor coding tasks that are repetitive, mainly with boilerplate code and JSON/data mutations. Its inline suggestions are of great use to me. I find it very easy to use, especially directly inside my VS Code. It also assists in generating commit messages. When I'm coding a feature, it takes context from the file I'm working on and generates suggestions. The initial setup was very easy. Review collected by and hosted on G2.com.

It needs to be more accurate at times, it sometimes generates rubbish code. More features like uploading images inside of VS Code only, voice commands etc. Review collected by and hosted on G2.com.

I like Github Copilot as it helps me in generating codes, debugging errors. So that as an automation engineer, I can directly focus on problem solving. It is very easy to use/implement. Also the agent of copilot helps me in reading the errors from the terminal and provides me the best solution. I am using Github Copilot in day-to-day life. Also it is integrated in my teams/outlook, vs code to debug the code and so on. Overall I feel copilot to be the one of the best AI tool. Review collected by and hosted on G2.com.

Copilot sometimes produces code that looks correct but has some errors. When a codebase is huge or deeply interconnected, Copilot sometimes fails to provide the exact solution. Review collected by and hosted on G2.com.