GitHub Copilot is widely adopted by organizations, with all 5 reviewed entities leveraging it to enhance developer productivity and streamline software development workflows. Its core utility lies in code generation and assistance, directly addressing business problems related to development efficiency and accelerating application delivery. A significant majority of reviewers, 80%, report that Copilot substantially reduces the time required for coding tasks, contributing to a positive return on investment through increased velocity and efficient project completion. The tool excels in providing real-time code completion and suggestions, a benefit highlighted by 60% of reviewers, and is valued for its seamless integration with popular IDEs, also noted by 60%. Furthermore, it helps developers write higher-quality and more secure applications, according to 40% of the feedback. However, areas for improvement exist, primarily concerning the quality and accuracy of generated code. 60% of reviewers found that suggestions occasionally fall short, producing nonsensical outputs or failing to address necessary edge cases. Additionally, 40% of reviewers expressed a need for enhanced IDE integration, specifically for better contextual understanding within large codebases and deeper debugging capabilities. Performance, particularly the speed of its agent mode, was also cited as a concern by 40% of reviewers, impacting the overall user experience. Despite these limitations, Copilot's ability to provide in-context support and reduce reliance on external search resources for coding assistance, mentioned by 60%, solidifies its role as a valuable aid for developers. Its capacity to understand and analyze existing codebases, noted by 40%, further contributes to its effectiveness in improving code quality, optimization, and adherence to coding standards. The product's overall value proposition centers on its ability to accelerate development cycles and improve software outcomes, making it a key tool for organizations focused on developer efficiency.

Pros

Significant reduction in coding task time (80% mention)
Real-time code completion and suggestions from natural language (60% mention)
Seamless integration with popular Integrated Development Environments (60% mention)
Understanding and analysis of existing codebases (40% mention)
Contribution to higher quality and more secure applications (40% mention)

Cons

Inconsistent quality and accuracy of generated code, sometimes lacking context or edge cases (60% mention)
Limited contextual understanding within large codebases and insufficient debugging capabilities (40% mention)
Performance and speed issues, particularly with the agent mode (40% mention)

What positive or negative impact (i.e. Return on Investment or ROI) has GitHub Copilot had on your overall business objectives?

From 5 reviews

Summary

GitHub Copilot generally contributes positively to business objectives, primarily by enhancing development efficiency and improving code quality. Reviewers consistently report that the tool significantly reduces the time required for coding tasks, with 4 of 5 reviewers explicitly citing development time savings. This increased velocity directly translates to more efficient project completion and resource utilization. Beyond just speed, the tool also appears to support the creation of higher-quality and more secure applications, as noted by 2 of 5 reviewers. These combined factors indicate that Copilot can offer a positive return on investment through accelerated development cycles and improved software outcomes.

Top Quotes

Development Time Savings

“It has very positive impact in our organization, it saves lots of time.”

Code Quality and Efficiency

“Helps us to build more efficient and secure Apps.”

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 5 reviews

Summary

Organizations are leveraging GitHub Copilot primarily to enhance developer productivity and streamline software development workflows. The tool is universally adopted across all 5 reviewed organizations for its capabilities in code generation and assistance, acting as a crucial aid for developers. This functionality directly addresses business problems related to development efficiency by helping teams write better, more structured, and efficient code, thereby accelerating application development. A significant aspect of its utility, noted by 3 of 5 reviewers, is its seamless integration with popular Integrated Development Environments (IDEs), which creates a unified and efficient coding environment. Furthermore, GitHub Copilot is reported to tackle common developer challenges, with 3 of 5 reviewers indicating it reduces the reliance on external resources like search engines and forums for coding assistance, providing in-context support instead.

Top Quotes

Code Generation and Assistance

“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.”

IDE Integration

“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.”

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 5 reviews

Summary

Reviewers identified several areas where GitHub Copilot could be enhanced, primarily concerning the quality and accuracy of its code suggestions. Three of five reviewers noted that the generated code sometimes falls short, occasionally producing nonsensical suggestions or failing to address all necessary edge cases. Relatedly, two of five reviewers expressed a desire for improved IDE integration, particularly regarding Copilot's ability to understand context within large codebases and to offer deeper debugging capabilities. Furthermore, two of five reviewers also pointed to performance and speed as areas needing attention, specifically mentioning that the agent mode can be slow, impacting the overall user experience. These observations collectively suggest that while Copilot offers utility, its effectiveness could be significantly boosted by refining its core code generation intelligence, improving its contextual awareness within development environments, and optimizing its operational speed.

Top Quotes

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 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.”

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 5 reviews

Summary

GitHub Copilot is primarily recognized by reviewers for its capabilities in assisting with code generation and enhancing development workflows. A significant finding is its proficiency in providing real-time code completion and suggestions, a benefit noted by 3 of 5 reviewers. This core functionality extends to generating valuable code snippets from natural language descriptions. Beyond direct code generation, the tool is also valued for its ability to understand and analyze existing codebases, with 2 of 5 reviewers specifically mentioning its utility in reading and reviewing code. These foundational capabilities contribute to its perceived effectiveness in improving code quality. Furthermore, 2 of 5 reviewers highlight Copilot's role in code improvement and optimization, assisting with bug fixing and adherence to coding standards. The introduction of an agent mode has also positioned Copilot to handle more complex tasks with high accuracy, according to 2 of 5 reviewers, including providing technical assistance for activities like logging and monitoring.

Top Quotes

Code Completion and Suggestions

“Code Completions.”

Code Understanding and Analysis

“Review code”

Code Improvement and Optimization

“Optimizing Code.”

Reviews

8 Reviews

Beyond the Hype A Developers Perspective on GitHub Copilot.

Rating: 7 out of 10

Incentivized

September 23, 2025

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.

Likelihood to Recommend

Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.

Verified User

Employee in Engineering (10,001+ employees)

Vetted Review

Best AI Tool For real Time Code Generation

Rating: 10 out of 10

Incentivized

September 22, 2025

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.

Likelihood to Recommend

Based on our experience it is best suited for us to develop Apps faster with the help GitHub Copilot, with its smart code suggest we can build our Apps 3x faster then before. It is also suited very well for the quality code generation. We can also test security of our Apps with agent mode which helps us lot to make our app more secure. For small code generation it is perfect, but if we want to build a large amount of code at once, then it may not that accurate.

Pintu Barman

Web Developer in Information Technology at Onlightenmedia (11-50 employees)

Vetted Review

3 years of experience

View profile

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

Rating: 9 out of 10

Incentivized

August 20, 2025

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.

Likelihood to Recommend

I believe overall GitHub Copilot works well and helps my development team. It integrates with various IDEs, including VS Code and PHPStorm. The Copilot effectively provides code suggestions and offers insights to help review code standards. The AI prompt takes the inputs well and drafts the code as per the prompts.

Vicky Negi

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

Vetted Review

2 years of experience

GitHub Copilot your best team mate

Rating: 8 out of 10

Incentivized

June 18, 2025

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

Likelihood to Recommend

One of my favorite features is for documenting and generating comments. Great quality of the comments making your code more maintainable and easy to share among developers. Another scenario where it helps a lot is for generating unit testing, that tedious task where developers often feel more lazy, with GitHub Copilot it is much quicker.

Verified User

Engineer in Engineering (1001-5000 employees)

Vetted Review

1 year of experience

GitHub Copilot AI Assistant Inside the IDE.

Rating: 9 out of 10

Incentivized

May 22, 2025

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.

Likelihood to Recommend

GitHub Copilot is beneficial when writing .NET code and needing on-the-spot assistance with development tasks such as code suggestions, bug fixing, and code optimization. It is also helpful when you are new to a technology and want to learn and use it faster. However, it might not be appropriate where you are dependent on GitHub Copilot. You can use it for assistance, but not as a replacement for your understanding and logic.

Verified User

Team Lead in Engineering (11-50 employees)

Vetted Review

1 year of experience

Use it, you'll thank me for telling you.

Rating: 10 out of 10

Incentivized

January 15, 2025

Use Cases and Deployment Scope

I use GitHub Copilot daily. It became a great time saver from the first day I started using it, and it has only gotten better since.
It helps me write the boring boilerplate code, giving great suggestions for what to write next, and it gives me ideas on where to go from my current location and onwards.

Pros

Code completion
Adding fields to forms
Suggestions on implementations
Writing the basic tests

Cons

It takes a while to trigger, and if you've already moved on when it does, your suggestion just flashes on the screen and then disappears again.
Multilingual data
It often keeps repeating itself even though you've deviated from its suggestion.
The "question-answer" functionality sometimes overwrites existing code with // code... comments.

Likelihood to Recommend

It solves the boring parts of development, the tedius creation of forms, writing basic validation, expanding enums, and it helps out suggesting solutions to complex logic - just make sure you read the code it throws at you!!

Eric Johansson

Senior Developer in Information Technology at CeriQ (1-10 employees)

Vetted Review

2 years of experience

View profile

GitHub Copilot is a tool that came at just the right time for my skill level

Rating: 10 out of 10

Incentivized

January 14, 2025

Use Cases and Deployment Scope

We program using popular programming languages. GitHub Copilot does an excellent job at filling in some of the blanks. It is great at reading the docs and showing up improvements to our code. While it is not always perfect, many times it is able to provide us with a solution that is very close to what we need and then we can make the necessary adjustments from there.

Pros

Fills in popular functions that we use throughout our code base.
Offers solutions to bugs and errors in the code.
Reads the docs for things that we may have missed.

Cons

It doesn't update it's answers to reflect the most current version of our code.
An easier option to wipe past answers and start fresh.

Likelihood to Recommend

It is best suited for someone who has enough experience in programming to know what it is doing and why.

It would not be best for someone who is just starting out as it may cause someone to bypass some of the necessary foundations for good programming.

Basically, it is a tool, not something that is going to do the work for you. This is the way it SHOULD be.

Verified User

Employee in Information Technology (1-10 employees)

Vetted Review

2 years of experience

Github copilot is super great and a huge timesaver

Rating: 10 out of 10

Incentivized

October 30, 2023

Use Cases and Deployment Scope

GitHub Copilot is employed in our organization to accelerate development by offering AI-powered code suggestions. It reduces coding errors, supports various languages, and aids in learning and training. It's particularly beneficial for pair programming and collaborative efforts, and facilitates rapid prototyping. Copilot seamlessly integrates into existing workflows, potentially automating code generation and assisting with documentation. Its scope of use varies based on project needs, from extensive adoption across all projects to targeted application for specific tasks or projects.

Pros

Autocompletion
Suggesting code based off of comments
Fleshing out ideas based off of notes

Cons

Speed, sometimes it's a little slow
Better documentation
Ability to refine feedback after initial prompt

Likelihood to Recommend

GitHub Copilot excels in scenarios demanding rapid prototyping or proof-of-concepts, where speed is paramount. It shines when tackling boilerplate-heavy tasks, like setting up authentication or handling file I/O. It's less suited for highly sensitive or critical code, where human scrutiny and manual verification are essential. Additionally, in novel, cutting-edge technologies where well-documented patterns are scarce, Copilot's suggestions may be less reliable.

Verified User

Engineer in Engineering (501-1000 employees)

Vetted Review

1 year of experience

Loading Reviews List....

Beyond the Hype A Developers Perspective on GitHub Copilot.

Rating: 7 out of 10

Incentivized

September 23, 2025

Use Cases and Deployment Scope

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.

Likelihood to Recommend

Verified User

Employee in Engineering (10,001+ employees)

Vetted Review