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GitHub Copilot Reviews & Insights

Score8.7 out of 10

69 Reviews and Ratings

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Based on 8,844 HG Insights installations.

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Community Insights for GitHub Copilot

Synthesised from 7 verified reviews.


Synthesised from 7 reviews | Last Published May 27, 2026


GitHub Copilot serves as an AI-powered coding assistant, primarily used by developers within organizations to accelerate software development and enhance productivity. In TrustRadius reviews, users typically integrate it directly into their preferred Integrated Development Environments (IDEs) to receive real-time code generation and suggestions. This integration helps streamline workflows and reduces the need for external searches, particularly for common functions and boilerplate code. The most frequently cited benefit, noted by 6 of 7 reviewers, is the substantial reduction in development time.

The product consistently contributes to improved code quality and security, enabling teams to produce more efficient applications and make informed problem-solving choices. However, some reviewers report that generated code can lack robustness or fail to account for edge cases, leading to accuracy concerns. Additionally, Copilot occasionally struggles with understanding large codebases, which can result in irrelevant suggestions, and its agent mode can sometimes be slow. Overall, reviewers express positive sentiment, highlighting significant gains in development efficiency.


  • Real-time code completion and suggestion
  • Significant reduction in development time
  • Improved code quality and standards
  • Efficient generation of boilerplate code
  • Seamless IDE integration for in-context assistance
  • Generated code can lack robustness or miss edge cases
  • Accuracy issues with code suggestions
  • Struggles with context in large codebases
  • Irrelevant API suggestions in complex projects
  • Agent mode can exhibit slow performance
What positive or negative impact (i.e. Return on Investment or ROI) has GitHub Copilot had on your overall business objectives?

From 7 reviews | Last Published May 27, 2026

GitHub Copilot primarily demonstrates a positive impact on business objectives by significantly enhancing development efficiency and contributing to improved code quality. The most frequently cited benefit, noted by 6 of 7 reviewers, is the substantial reduction in development time, enabling teams to complete tasks more quickly and focus on complex problems. This efficiency gain extends to mundane and repetitive coding functions, which are often automated or accelerated by the tool's suggestions. Beyond speed, the tool also contributes to the quality and security of the code produced, with 3 of 7 reviewers indicating that it helps in generating good-quality and more efficient applications. The ability to receive suggestions for problem-solving further empowers developers to make informed choices, indirectly supporting overall project objectives and client satisfaction.

Development Time Savings

CoPilot has saved my development time.

Code Quality and Efficiency

CoPilot has provided good-quality code to keep the client happy.

Besides GitHub Copilot, what other software do you regularly use? How likely would you be to recommend it to a friend or colleague?

From 7 reviews | Last Published May 27, 2026

An analysis of software regularly used by developers in conjunction with GitHub Copilot indicates that Microsoft Visual Studio Code is a tool frequently employed by a segment of the user base. Two of 7 reviewers explicitly named Visual Studio Code as software they use regularly. While these mentions confirm its presence in the development environment for these individuals, the reviews did not offer detailed insights into the specific reasons for its regular use, its perceived benefits, or the likelihood of recommending it to others. The absence of elaborative commentary suggests that its role might be considered foundational or self-evident by those who mentioned it, rather than a tool warranting specific praise or detailed discussion within the scope of these reviews. This limited data points to an underlying familiarity and integration of Visual Studio Code into existing workflows, but without further qualitative context.

Microsoft Visual Studio Code

Microsoft Visual Studio Code

Describe how you use GitHub Copilot in your organization. What are the business problems the product addresses and what is the scope of your use case?

From 7 reviews | Last Published May 27, 2026

GitHub Copilot is primarily utilized by organizations to enhance developer productivity and streamline the software development lifecycle, with a strong focus on code generation and assistance. Five of seven reviewers highlight its effectiveness in generating and suggesting code, leading to faster development and improved code quality. The product is frequently integrated directly into developers' preferred Integrated Development Environments (IDEs), a benefit noted by 3 of 7 reviewers, which streamlines workflows. This integration allows developers to receive real-time assistance without switching contexts. Furthermore, 3 of 7 reviewers indicate that Copilot addresses common developer challenges by providing immediate coding solutions and logic suggestions, reducing reliance on external search engines and forums. Reviewers consistently report that Copilot helps with boilerplate code and offers valuable suggestions, contributing to more efficient and structured coding practices.

Code Generation and Assistance

GitHub Copilot is used in my company to help developers write better and structured code.

IDE Integration

We have been using the IDE integrations of Github Copilot in both IntelliJ IDEA as well as VSCode.

Addressing Developer Challenges

They also need help understanding how to define write logics via coding terms.

Please provide some detailed examples of areas where GitHub Copilot has room for improvement.

From 7 reviews | Last Published May 27, 2026

Reviewers identified several areas where GitHub Copilot could be improved, primarily concerning the quality and accuracy of its code suggestions, its integration with development environments, and its operational speed. A significant concern, raised by 3 of 7 reviewers, centered on the Code Quality and Accuracy of generated code. These reviewers frequently noted that suggestions sometimes lacked robustness, failed to account for edge cases, or did not fully meet requirements. Beyond code quality, IDE Integration and Context was highlighted by 2 of 7 reviewers as an area needing development. These reviewers pointed out that Copilot occasionally struggles with understanding large codebases, leading to irrelevant or non-existent API suggestions. Finally, Performance and Speed were mentioned by 2 of 7 reviewers, who observed that the agent mode could be slow, impacting the overall user experience. These observations collectively suggest opportunities for enhancing Copilot's core functionality, contextual awareness, and responsiveness within development workflows.

Code Quality and Accuracy

Sometimes code generated by Copilot is not of the best quality, doesn't handle all the edge cases, and misses some requirements.

IDE Integration and Context

I have noticed that the Copilot is not the best at analyzing large monolithic codebases and placing them in their context. It has suggested to me APIs and methods from time to time that don't exist in my codebases.

Performance and Speed

Sometime with agent mode it takes too much time, which can be reduced but I understand it also depends on the complexity of the given task.

Please provide some detailed examples of things that GitHub Copilot does particularly well.

From 7 reviews | Last Published May 27, 2026

Reviewers frequently highlight GitHub Copilot's proficiency in generating code and assisting with various development tasks, with the most prominent strength being its real-time code completion and suggestion capabilities. Five out of seven reviewers specifically praised its ability to provide accurate and fast code snippets, often filling in common functions and suggesting implementations based on natural language descriptions. Beyond basic code generation, reviewers noted Copilot's utility in improving code quality and resolving issues; for instance, two reviewers mentioned its role in helping to write better code standards and fixing bugs. The tool is also recognized for its ability to handle more complex tasks, including understanding and analyzing existing codebases, as well as offering solutions for debugging and error resolution, each cited by two reviewers. This suggests that while code completion is a primary benefit, Copilot offers broader support across the development lifecycle.

Code Completion and Suggestions

Real time code suggestions are really fast and accurate I liked it.

Code Improvement and Optimization

Helps write better code standards for projects.

Handling Complex Tasks

After introduction of Agent Mode now it can handle very complex task with high accuracy.

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