What I like most is how it fits into both my development workflow and our review process. I use it in my IDE to help write code, suggest improvements, and even debug when I’m stuck, which saves a lot of time. We also use it as part of an automated GitHub workflow for code reviews, and it’s helpful in catching basic issues or suggesting changes early. It feels like having an extra pair of eyes, especially for repetitive or boilerplate-heavy tasks. Review collected by and hosted on G2.com.

The suggestions aren’t always accurate, especially for more complex logic or domain-specific code. You still need to review everything carefully, as it can sometimes produce code that looks right but isn’t fully correct. In code reviews, it’s useful but not a replacement for human context, it can miss the bigger picture or intent behind changes. Review collected by and hosted on G2.com.

I love the interface and how easily i can use it in my IDE and let it explain my problem and it understands it easily and gives me accurate answers. Is interface is so easy for anyone to understand and start using right away. Review collected by and hosted on G2.com.

It sometimes interrupts my work flow with some intrusive suggestions. Also if the session is too long then it starts hallucinating. It needs right prompt and we need to explain what we need or the answers would be very poor. Review collected by and hosted on G2.com.

I use GitHub Copilot to help with coding basic things, formatting my code, and looking for errors. It's integrated into my IDE (VS Code), so I don't have to switch tabs. I appreciate that it comes with multiple LLM options like Claude, ChatGPT, and Gemini, allowing me to switch as I wish. It doesn't run out of credits and has better code handling compared to the traditional web versions. I love that I don't have to copy and paste my code because it already has access and updates it itself. Before changing my code permanently, I can see how the new version performs and the changes it made before deciding to 'keep' it. The integration of multiple AIs helps me check what each has to offer before going with one. The setup was really easy; I just got the extension and connected my GitHub account, and I was good to go. Review collected by and hosted on G2.com.

Sometimes it takes too long to generate a response and keeps meddling with the terminal instead of the actual code, but that happens rarely. Review collected by and hosted on G2.com.

The AI assistant saves a lot of time and has great features like the ability to operate on multiple files in a project, and plan and execute changes across the project files Review collected by and hosted on G2.com.

I don't like the weekly threshold that limits its usage, it tends to disrupt the workflow when you have major changes being implemented and all of a sudden, the operations are stopped because you have hit the usage limit Review collected by and hosted on G2.com.

As an infrastructure engineer, I find GitHub Copilot most useful for generating PowerShell, Python, and automation scripts. It helps me quickly create script templates, troubleshoot commands, and automate repetitive administration tasks, which saves a significant amount of time during project implementations and operational activities. Review collected by and hosted on G2.com.

One thing I dislike about GitHub Copilot is that its suggestions are not always accurate and sometimes require careful review before use. It can occasionally generate inefficient or outdated code, which means I still need to validate and test everything. For infrastructure and automation scripts, it sometimes misunderstands the environment or context, leading to suggestions that need significant modification. Review collected by and hosted on G2.com.

It gives quick, usable suggestions for repetitive code and common patterns, which saves a lot of time. It also keeps me in the editor so I don’t have to keep searching for basic implementations. Review collected by and hosted on G2.com.

it often sounds confident even when the code is slightly wrong. It can miss edge cases or suggest outdated patterns, so you still need to review everything carefully. Review collected by and hosted on G2.com.

I like GitHub Copilot because it literally reduces my time on repetitive tasks, like refining my emails and suggesting my coding functions. I like that I can use GitHub Copilot to get an overview of a repository and understand the functionalities, which really helps when I’m looking for main files and functionalities. I love that I can access it inside Visual Studio Code. It immediately starts suggesting code and improving it for me. GitHub Copilot is especially useful in writing helper functions, validations, and logic. It’s great that I don't have to switch between tabs when I'm working because I can access it easily both from GitHub and Visual Studio Code. I appreciate the different models provided by Copilot as they really help a lot. I find the customer support and the community very helpful, and I feel like the platform is well-supported, which gives me trust when relying on it for development. I think GitHub Copilot is flexible and can be used by anyone, not just developers—it can help with sales data analysis or marketing strategies. It also helps me with documentation by providing outputs in a structured way. The initial setup was smooth and very straightforward, making it user-friendly and beginner-friendly. Review collected by and hosted on G2.com.

Sometimes the suggestions are not very up to date, especially with recent changes in API versions like Azure's. GitHub Copilot doesn't always have knowledge of the latest API updates, which can be problematic when working with new features or changes. Additionally, it requires a stable internet connection, which is a limiting factor. Review collected by and hosted on G2.com.

What I love most about GitHub Copilot is how effortlessly it supports my day-to-day automation work. The ease of use is what hooked me from day one; it genuinely feels like having a partner who already understands my coding style and our specific Java framework. I use it constantly throughout the day, and that frequency has actually changed how I approach writing new scripts. Instead of digging through documentation for Rest Assured syntax or Selenium locators, I can just start typing and it completes what I’m trying to do. It keeps me in the flow, making the whole process feel more natural and far less like a chore.

The implementation and integration have been big pluses for me as well. Since our codebase already lives in GitHub, getting it running in my IDE was basically a one-click setup. It didn’t require complicated configuration or major changes to how we work; it simply fit into our existing Git workflow. The range of features—especially the new agent mode—has also noticeably boosted our productivity. It’s not only about basic code completion anymore; it’s about having a tool that can help me think through more complex logic or even refactor an entire page object while I’m still in the middle of a sprint.

Whenever I’ve hit a strange glitch or had questions about recent updates, both customer support and the community have been really helpful. It’s reassuring to know the platform is well supported, especially since we rely on it so heavily for testing now. At this point, it’s become an essential part of my toolkit—I can’t really imagine going back to writing boilerplate code by hand or spending hours debugging simple typos that Copilot catches right away. It lets me focus more on the interesting parts of my job, like figuring out the best testing strategies for our products. Review collected by and hosted on G2.com.

The context window can also be a bit frustrating. In our larger automation files—especially those with hundreds of lines of API test cases—Copilot sometimes loses track of the logic I established at the top of the file. It then starts suggesting variable names or logic that doesn’t align with the rest of the script, which forces me to pause and manually correct it. It’s not a dealbreaker, but it does interrupt my momentum. Review collected by and hosted on G2.com.

I used GitHub Copilot to speed up coding by generating code suggestions, boilerplate, and function templates. I like how it quickly suggests useful code and helps me write faster with less effort. It’s helpful for quick solutions and learning new syntax. I also like how it understands context from my code and comments, making its suggestions feel relevant and helpful. The initial setup was very easy—just install the extension, sign in, and it’s ready to use. Review collected by and hosted on G2.com.

Sometimes the suggestions from GitHub Copilot are inaccurate or not optimized, so they need careful review. It could be more accurate, especially with a better understanding of complex, project-specific code. Review collected by and hosted on G2.com.

The Copilot drastically increases my productivity by suggesting, in real-time, repetitive code blocks and even more complex logic. It's like having a constant partner in programming the projects at Jheytech.Ai. Review collected by and hosted on G2.com.

Sometimes, the suggestions may be based on outdated libraries, which requires a more careful manual review. Additionally, the reliance on a stable internet connection can be a limiting factor.

What problems does it solve?: "It solves the time bottleneck in writing boilerplate code and helps to learn new syntaxes more quickly, which is essential for my study flow at Uniasselvi."

Evaluation Title: "The indispensable right-hand for developers in training" Review collected by and hosted on G2.com.