G2

Puneet M.

Data Engineer

Small-Business (50 or fewer emp.)

7/10/2026

"GitHub Copilot Boosts My Daily Development Workflow"

4/5

What do you like best about GitHub Copilot?

I use GitHub Copilot every day in Visual Studio Code while developing JavaScript, SAPUI5, SQL, and Python applications. The inline code suggestions help me complete repetitive functions, formatter methods, SQL queries, API calls, and boilerplate code much faster than writing everything manually. For example, when creating CRUD operations or utility functions, Copilot often generates a solid first draft that only needs minor adjustments.

Copilot Chat has become one of the features I use most. It helps me understand unfamiliar code, troubleshoot errors, explain complex logic, and generate sample implementations without leaving my IDE. This has reduced the amount of time I spend searching through documentation or online forums.

The integration with Visual Studio Code is seamless, the interface is intuitive, and suggestions typically appear almost instantly, keeping my development workflow uninterrupted. Getting started was straightforward and required only a few minutes of setup. While the subscription cost is something to consider, the productivity gains, faster development, and reduced time spent on repetitive coding make it a worthwhile investment for my daily work. Review collected by and hosted on G2.com.

What do you dislike about GitHub Copilot?

GitHub Copilot is a valuable productivity tool, but I always review its suggestions before using them. For straightforward tasks it performs well, but for complex business logic or large codebases it can sometimes generate code that doesn't fully align with the project's coding standards, architecture, or naming conventions. It may also lose context across multiple files, leading to repetitive or overly generic implementations that require manual refinement.

Copilot Chat is useful for explanations and troubleshooting, but I occasionally encounter examples that are outdated or not fully aligned with the latest versions of certain libraries or frameworks. Because of this, I still verify important recommendations against official documentation and test the generated code before committing it.

I would like to see better awareness of the entire project structure, more accurate framework- and version-specific suggestions, and improved handling of large, multi-file projects. These improvements would make GitHub Copilot even more reliable for professional software development. Review collected by and hosted on G2.com.

What problems is GitHub Copilot solving and how is that benefiting you?

Before using GitHub Copilot, I spent a considerable amount of time searching documentation, Stack Overflow, and other resources for syntax, code examples, and boilerplate implementations. With Copilot integrated into my IDE, I can generate a solid first draft of code without interrupting my workflow, allowing me to spend more time solving business problems instead of writing repetitive code.

I regularly use it to generate SQL queries, utility functions, API integrations, unit test templates, data transformation logic, and code comments. Copilot Chat also makes it easier to understand unfamiliar libraries, troubleshoot errors, and explore alternative approaches without leaving the editor.

Overall, GitHub Copilot has improved my development workflow by reducing time spent on routine coding tasks, increasing productivity, and helping me deliver features more efficiently. I still review, test, and refine all generated code before using it in production, but it consistently saves time during day-to-day development. Review collected by and hosted on G2.com.