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GitHub Copilot

Score8.6 out of 10

82 Reviews and Ratings

What is GitHub Copilot?

GitHub Copilot is an AI-powered developer tool that, according to the vendor, aims to assist developers in writing code more efficiently by reducing boilerplate code and improving productivity. It is designed for both individual developers and businesses of all sizes. The tool is commonly used by professionals in various industries, including software developers, web developers, mobile app developers, data scientists, and DevOps engineers.

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Categories & Use Cases

Who Buys & Uses GitHub Copilot

GitHub Copilot Reviews

What users are saying about GitHub Copilot.
View all GitHub Copilot reviews

Pros

  • Real-time code completion and suggestion
  • Significant reduction in development time
  • Improved code quality and standards

Cons

  • Generated code can lack robustness or miss edge cases
  • Accuracy issues with code suggestions
  • Struggles with context in large codebases

Best AI Tool For real Time Code Generation

Incentivized
Pintu BarmanView profile
Web Developer in Information Technology at Onlightenmedia (11-50 employees)

Use Cases and Deployment Scope

We use GitHub Copilot in our organization primarily for software development especially for code generation and code suggestion, its saves lots of time and helps us to develop our app faster with efficient code. Nowadays it become more powerful with the agent mode, now it has a capacity to perform very complex task with high success rate, if efficient prompt is provided.

Pros

  • Real time code suggestions are really fast and accurate I liked it.
  • After introduction of Agent Mode now it can handle very complex task with high accuracy.
  • Get better performance, if use it with MCP server.

Cons

  • The only issue I faced is the context token size, it can be increase.
  • 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.

Return on Investment

  • It has very positive impact in our organization, it saves lots of time.
  • Helps us to build more efficient and secure Apps.
  • Helps in fast product development.

Usability

Alternatives Considered

Anthropic Claude

Other Software Used

Anthropic Claude

Beyond the Hype A Developers Perspective on GitHub Copilot.

Incentivized
Verified User
Employee in Engineering (10,001+ employees)

Use Cases and Deployment Scope

We use github copilot as a coding assistant mainly. We have been using the IDE integrations of Github Copilot in both IntelliJ IDEA as well as VSCode. It has acted as a very strong coding assistant, providing valuable suggestions and feedback to the code. It also suggests code for problems that I describe, thus helping me "vibe-code" in my work. We have not yet procured the agentic capabilities for github copilot so my review is based on the non-agentic version.

Pros

  • Reading codebases and understanding the same.
  • Providing valuable code snippets for problems or tasks that I describe in English.
  • Also helps with other supplementary technical activities, such as, from time to time, I have asked it to suggest places where I can add logs and suggest how I can monitor those logs on Splunk via a dashboard. It has helped me with both.

Cons

  • Sometimes code generated by Copilot is not of the best quality, doesn't handle all the edge cases, and misses some requirements.
  • 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.
  • I would have loved it if there were a deeper integration available with the IDEs. Although the IntelliJ IDEA extension is decent, I would have loved it if there were, say, a direct integration available of the GitHub Copilot agent with the IntelliJ Debugger.

Return on Investment

  • Has improved our dev velocity for simple tasks such as dependency updates or addressing SSRF vulnerabilities in our code bases by at least 50%.
  • Our Engineers use Copilot to even generate dashboards on Splunk. Thereby, not just helping with coding but also with observability and monitoring.
  • A slightly negative ROI may be that new grads into our company often blindly rely on GitHub Copilot-generated code and are not then able to demonstrate analytical and critical thinking ability. They struggle when it comes to verifying if the AI-generated code is accurate or not.

Usability

Alternatives Considered

Augment, Google Gemini, Uniqodo, Windsurf and Cursor

Other Software Used

Microsoft Visual Studio Code, GitHub, Atlassian Jira, Postman

CoPilot works with any IDE including VS code and PHP Storm.

Incentivized
Vicky Negi
Lead UI/UX in Information Technology at Ideal User (11-50 employees)

Use Cases and Deployment Scope

GitHub Copilot is used in my company to help developers write better and structured code. We develop applications using PHP Laravel, but sometimes developers don't follow standard coding practices, which can lead to issues. They also need help understanding how to define write logics via coding terms. GitHub Copilot has been incredibly helpful to my team, enabling them to write better code and work faster.

Pros

  • Make code development faster and quicker.
  • Helps write better code standards for projects.
  • Provide the latest functions from the technology.
  • Notifies about the deprecated functions.

Cons

  • Copilot provides a great level of code suggestions. It works great for backend code, but can be improved for front-end code, including styling.

Return on Investment

  • CoPilot has saved my development time.
  • CoPilot has provided good-quality code to keep the client happy.

Usability

Alternatives Considered

Cursor

Other Software Used

Cursor, Anthropic Claude, Google Gemini, Azure OpenAI Service, Bolt, National Instruments Vision Builder AI

GitHub Copilot AI Assistant Inside the IDE.

Incentivized
Verified User
Team Lead in Engineering (11-50 employees)

Use Cases and Deployment Scope

Development teams in our organization use GitHub Copilot to improve productivity while working on .NET applications in the Visual Studio IDE. Before using GitHub Copilot, our developers depended on Google searches, AI tools, and developer forums to get help with development tasks. With GitHub Copilot now integrated into Visual Studio, they have a one-stop solution that eases their development process.

Pros

  • Code Completions.
  • Fixing Bugs in Code.
  • Optimizing Code.

Cons

  • Chat responses can be improved.
  • Accuracy needs improvement.
  • Ease of Use can be made better.

Return on Investment

  • Faster Development Time.
  • Learning Curve is Reduced.
  • Lowered Development Costs.

Usability

Alternatives Considered

ChatGPT, Perplexity and xAI Grok

Other Software Used

xAI Grok, Perplexity, ChatGPT, Microsoft Teams

GitHub Copilot your best team mate

Incentivized
Verified User
Engineer in Engineering (1001-5000 employees)

Use Cases and Deployment Scope

The department gathers all business requirements that in order to achieve them and make them real, we need to develop code. Here is where GitHub Copilot plays its role. We have Visual Studio Code and Eclipse installed in the developers local environments and we have installed the extension that helps us in developing and reviewing the code.

Pros

  • Review code
  • Answers quite good the questions I ask about the workspace configuration
  • Specialized agent for coding Java, Groovy

Cons

  • Sometimes generates nonsensical code, "hallucination," which can require additional review and correction
  • Sometimes can contain security vulnerabilities
  • It is a paid service

Return on Investment

  • Time to Market
  • Return on Investment
  • Handover (documentation generation = easier to understand)

Usability

Other Software Used

Eclipse, Microsoft Visual Studio Code, Notepad++