I like smart code auto complete feature and also context aware suggestions. The pr summarization and code review suggestions are also best features. It is very easy to integrate into our vs code ide as well. The UI is very simple and user friendly. Review collected by and hosted on G2.com.

Sometimes it generates code which contains security risks and sometimes we see too many unnecessary comments in pr which are too noisy.The main thing I don't like rate limit in paid plan as well. The agent mode takes 20 to 30 percent tokens on unnecessary things like comments etc. Review collected by and hosted on G2.com.

I use GitHub Copilot to significantly speed up development by providing real-time code suggestions and reducing repetitive coding efforts. The newer versions have an agent model that does things automatically, reducing turnaround times to deliver features to applications. I appreciate its ability to provide multiple modes of approval, allowing me to bypass approvals for less critical tasks, while ensuring approvals for production-critical work. This flexibility is really good. Another aspect I like is that it allows me to see the reasoning and analysis it performs, which helps me to understand its logic and make corrections if needed. Review collected by and hosted on G2.com.

Suggestions are not always accurate and sometimes require validation. It can also generate overly generic or suboptimal code if prompts are not clear. And the token usage is very high if you don't know how to write proper concise prompts. Review collected by and hosted on G2.com.

I think all the features of GitHub Copilot are really wonderful to improve our software development philosophy. I like that it has predictive text awareness, where it understands and reasons through the entire project code to suggest appropriate code automation. I also appreciate its ability to eliminate boilerplate code, like setting up a unit test skeleton and creating various Java or Node.js components. It helps review code for vulnerabilities and supports many programming languages, which is really useful for our team. Review collected by and hosted on G2.com.

While GitHub Copilot is a helpful tool for developers, it does have some shortcomings such as architectural and cross-file blindness. Copilot struggles with tasks that span multiple files or involve complex project architecture, which can cause it to lose context. Like other AI tools, it sometimes hallucinates or generates speculative content, suggesting methods or classes that don't exist. These issues can pose security and quality risks. Review collected by and hosted on G2.com.

The best part about GitHub Copilot is that I can choose the best available models based on my requirements. Also, Auto mode works well, and Copilot chooses the best model depending on the workload. Review collected by and hosted on G2.com.

Sometimes, GitHub Copilot doesn’t return any output and keeps asking me to retry again and again. Review collected by and hosted on G2.com.

I like the inline edits and that I can use it in my favorite IDE, IntelliJ. It was my first AI coding tool, and I also really appreciate the auto-generated commit messages from Copilot. Review collected by and hosted on G2.com.

The UI experience isn’t that great compared to other competitors like Cursour. It takes forever to make even simple changes, which makes the overall workflow feel slow and frustrating. Review collected by and hosted on G2.com.

GitHub Copilot has significantly sped up my development workflow. Its inline code suggestions are accurate and context-aware, particularly when I’m working in C# and TypeScript. It takes care of repetitive boilerplate almost instantly, which saves me hours each week. The chat feature in VS Code is also excellent for explaining code, helping generate unit tests, and assisting with debugging when I get stuck. Overall, it integrates smoothly into my existing setup with virtually no friction. Review collected by and hosted on G2.com.

Sometimes the suggestions feel off-context or overly verbose, so I still need to adjust them manually. It can also struggle at times with less common frameworks or niche libraries. The cost may be a barrier for solo developers or small teams. During heavy usage, it occasionally slows the editor down a bit, and the suggestions can start to feel repetitive when I’m working with similar code patterns across a project. Review collected by and hosted on G2.com.

Developers do not have to leave their IDE to look up documentation or search Stack Overflow.

This helps to save time, brakes complex code for us to understand that easily. Review collected by and hosted on G2.com.

Sometimes it gives meaningless codes & sometimes wrong codes. Review collected by and hosted on G2.com.

Very helpful for coding. It’s useful for both code generation and editing, and it has increased my productivity. Review collected by and hosted on G2.com.

It hallucinates a little sometimes. I’m also unable to fetch the history from some previous sessions, and I keep seeing the same repetition again and again. Review collected by and hosted on G2.com.

I like the integration in VSCode. Its performance while coding is pretty good. It used to be competitively priced, but they changed the pricing model, so it's no longer as inexpensive. Review collected by and hosted on G2.com.

New pricing model - this completely ruined the experience Review collected by and hosted on G2.com.

it understand my intent means what im trying to build, what are the features ,where should data flow it gets me, its UI is actually user fiendly compared to most of AI Agents i know . it integration with mcp server makes work much easier like with figma,etc Review collected by and hosted on G2.com.

costly and free tier ends very soon and context is also limited it should be which is a barrier in making full stak apps Review collected by and hosted on G2.com.