GitHub CoPilot Reviews

Name: GitHub CoPilot
Brand: GitHub
Rating: 4.1 (27 reviews)

4.1 out of 5

27 reviews
96% willing to recommend

What is GitHub CoPilot?

GitHub CoPilot accelerates developer productivity with code generation, test case creation, and code explanation. It provides context-aware suggestions, integrates with popular IDEs, and supports multiple languages.

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GitHub CoPilot is the #2 ranked solution in top AI Code Assistants solutions and #9 ranked solution in top Rapid Application Development Software. PeerSpot users give GitHub CoPilot an average rating of 8.2 out of 10. GitHub CoPilot is most commonly compared to ServiceNow: GitHub CoPilot vs ServiceNow. GitHub CoPilot is popular among the large enterprise segment, accounting for 72% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.

Helped 839,319 peers since 2012

Featured GitHub CoPilot reviews

TarunRevalla

Software Engineer at Yext Inc

In terms of improvements for Copilot, I haven't considered much since it offers many useful interactions. It integrates well with GitHub repositories, tracks changes on PRs, and provides valuable suggestions where applicable. There is excellent support across various code editors like JetBrains, VS Code, and NeoGen. I also run many automations within GitHub. When an NPR is raised, it automatically provides suggestions, which is part of the enterprise edition without limitations. While I don't see immediate room for improvement, one suggestion is for Copilot to provide specific suggestions for certain lines of code instead of rewriting entire sections. If the tool could focus on specific lines where changes are suggested, it would save time and reduce server load.

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Sathya Prasad

Director at Synechron

If you're considering a complete CI/CD pipeline, you'll need to integrate various tools such as Jenkins for builds and ensure connectivity with platforms like AWS or Azure. All these aspects must be managed effectively. Therefore, it's essential to have a dedicated configuration management team to oversee and maintain the pipeline. We're working on developing our in-house AI tool. GitHub Copilot, closely integrated with Microsoft products like .NET, offers extensive support for various programming languages. For example, it supports a wide range of languages, while a customized tool might only cover around seventy percent of the same range. It definitely can do a little bit of statistical analysis and give recommendations. I would recommend considering GitHub Copilot. If you already use another tool, be aware of the migration effort required to switch to Copilot. Assess the process of adopting and onboarding Copilot to ensure a smooth transition. If you're moving from one tool to Copilot, you'll need to evaluate the migration effort involved. It’s essential to have early adopters to facilitate this process. Overall, I rate the solution a nine-point five out of ten.

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Pmurki@Micron.Com Praveen

VP & GM, Client Storage at Micron Technology

I can get suggestions by giving some prompts for code generation and code validation. And even when we need to understand already written code, we'll use it to explain Sometimes, we are able to get benefits from understanding the existing code, writing new code, and even validating our already…

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GitHub CoPilot mindshare

As of March 2025, the mindshare of GitHub CoPilot in the Rapid Application Development Software category stands at 5.2%, up from 1.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Rapid Application Development Software

PeerAnalyst reports based on GitHub CoPilot reviews

Type	Title	Date
Category	Rapid Application Development Software	Mar 4, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 4, 2025	Download
Comparison	GitHub CoPilot vs Microsoft Power Apps	Mar 4, 2025	Download
Comparison	GitHub CoPilot vs ServiceNow	Mar 4, 2025	Download
Comparison	GitHub CoPilot vs OutSystems	Mar 4, 2025	Download

Title	Rating	Mindshare	Recommending
ServiceNow	4.2	11.2%	92%	216 interviews Add to research
GitLab	4.3	2.7%	97%	82 interviews Add to research

Valuable Features

GitHub CoPilot's most valuable features include context-aware code suggestions, test case generation, and integration with IDEs like Visual Studio Code and JetBrains. It excels in code completion and explanation, boosts productivity, aids in debugging, supports multi-language use, and reduces coding time. CoPilot's ability to adapt to various coding styles adds efficiency. Its AI-driven capabilities help developers find information quickly and streamline workflows, enhancing project development and improving coding skills.

"Copilot is highly recommended for everyone."
"Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project."
"In terms of understanding user queries and providing code that aligns with my expectations, there is room for improvement."

Room for Improvement

GitHub CoPilot requires enhancement in its accuracy, contextual awareness, and stability. There are requests for improved integration with various IDEs, support for more programming languages, and better cost-efficiency. Users express a need for better control over Copilot's activation, richer result presentations, and streamlined reporting features. Improvements in handling multiple files, direct IDE integration, and support for legacy code are desired. Enhancements are also suggested in integration with other tools and API simplification.

"While I don't see immediate room for improvement, one suggestion is for Copilot to provide specific suggestions for certain lines of code instead of rewriting entire sections."
"If the tool could focus on specific lines where changes are suggested, it would save time and reduce server load."
"Sometimes it requires multiple iterations to get the code I need, like for creating a login page with specific buttons and logic."

ROI

Organizations report a positive trend in ROI from GitHub CoPilot, highlighting reduced production costs and time. Many observe up to 40% cost savings and a notable increase in productivity, with some experiencing a 500% return. User satisfaction is high, though the impact may vary with project size or complexity. A few note less efficiency when dealing with long questions or complex codebases. Generally, it enables approach to more clients faster.

Pricing

Enterprise buyers evaluating GitHub CoPilot find its tiered pricing model appealing, featuring a free version with options for personal or enterprise licenses. Personal licenses typically cost around $10 monthly, while enterprise rates vary, often around $19 per user. Pricing is generally seen as reasonable, although some find it costly compared to alternatives. Enterprise users with a GitHub enterprise license may access CoPilot at no additional cost, simplifying licensing and reducing overall expenses.

"The pricing for GitHub Copilot is around ten dollars per month."
"Each user needs their license, whether it's a big team or a small team."
"GitHub Copilot is a paid service, costing approximately $6 per month. There might be a free trial available."

Popular Use Cases

GitHub CoPilot is primarily used to enhance productivity and efficiency in coding and development processes. Users employ it for writing code, generating code snippets, providing coding suggestions, summarizing documents, and improving workflow. It also aids in creating test cases, developing applications, and refactoring code, making it highly effective for tasks like prompt engineering, syntax purposes, and code validation. CoPilot supports developers by accelerating coding tasks and automating repetitive activities.

Service and Support

Support experiences for GitHub CoPilot vary. Users report occasional delays in responses, though teams address concerns privately. Microsoft's documentation is useful for some, minimizing the need for direct human contact. Some users describe the technical support as knowledgeable, rating it highly, while others express dissatisfaction due to lack of response. A strong forum community effectively provides answers, encouraging user engagement. Some suggest improving support through better onboarding and community resources.

Deployment

Many users found GitHub CoPilot's initial setup easy and straightforward, often completed in minutes via automatic updates. Most experienced minimal complexity, though some faced minor challenges during the login process, particularly with device ID confusion and network issues. Many used IDEs like VS Code and JetBrains, involving account activation and extension installation. Setup generally required no specific technical expertise and was efficiently handled by individuals or teams, even in licensed or enterprise contexts.

Scalability

GitHub CoPilot's scalability is praised for accommodating growth, with users successfully deploying across various company sizes. It receives mixed ratings, mostly around eight out of ten, with some noting occasional reliability issues under high traffic. Many anticipate improvements, seeing it as inherently scalable due to its cloud-based nature. Large user bases seem achievable. Some caution about effectiveness in complex scenarios, while others note seamless scaling with added licenses and potential for expansion.

Stability

Users rate GitHub CoPilot's stability between seven and ten out of ten. Whilst generally deemed stable, it sometimes encounters issues such as hanging, glitches, or brief disruptions. Reliability isn't absolute, with occasional output inaccuracies. Connectivity problems are rare but can cause interruptions, especially in environments using proxies. Despite these issues, CoPilot is praised for its usefulness and high stability, aiding in code writing and suggestion but requires careful attention during periods of unreliability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our GitHub CoPilot Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Healthcare Company

Manufacturing Company

Insurance Company

Comms Service Provider

University

Government

Educational Organization

Retailer

Energy/Utilities Company

Real Estate/Law Firm

Hospitality Company

Media Company

Construction Company

Legal Firm

Non Profit

Outsourcing Company

Wholesaler/Distributor

Consumer Goods Company

Transportation Company

Aerospace/Defense Firm

Logistics Company

Compare GitHub CoPilot with alternative products

Learn more about GitHub CoPilot

GitHub CoPilot significantly boosts development efficiency by reducing coding and debugging time. Its user-friendly auto-complete and variable detection features streamline complex tasks, serving as a learning tool for developers. Areas needing improvement include its accuracy, stability, and broader integration with IDEs and languages. Users find the pricing strategy expensive and wish for enhanced contextual understanding, diverse result formats, and image support. Expanded functionality and better integration in highly regulated environments are important for future growth.

What are the most valued features of GitHub CoPilot?

Code Generation: Accelerates coding with smart suggestions.
Test Case Creation: Streamlines automated testing.
Code Explanation: Offers detailed insights into code segments.
Context-Aware Suggestions: Provides personalized assistance.
Multi-Language Support: Enhances versatility across programming languages.

Which benefits should users look for in reviews?

Increased Efficiency: Reduces time spent on coding tasks.
Enhanced Productivity: Speeds up the development process.
Learning Aid: Aids developers in understanding and creating complex code.
Task Automation: Facilitates automating repetitive coding tasks.

Utilized across industries to enhance application development and productivity, GitHub CoPilot assists in generating code snippets, writing code skeletons, analyzing documents, and automating workflows. It supports coding best practices, prompt engineering, and natural language processing. Developers leverage its capabilities for creating meeting summaries, report recommendations, and content ideas, thereby optimizing workflow efficiency.