


What is GitHub Copilot?
GitHub Copilot suggests code completions as developers type and turns natural language prompts into coding suggestions based on the project's context and style conventions. GitHub Copilot keeps track of your work, suggests descriptions, and helps reviewers reason about your changes. Use GitHub Copilot to code faster, drive impact, and focus on doing what matters most: building great software.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
87 Likeliness to Recommend
96 Plan to Renew
1
Since last award
83 Satisfaction of Cost Relative to Value
2
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love GitHub Copilot?
Pros
- Respectful
- Continually Improving Product
- Enables Productivity
- Efficient Service
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Code Completion
IDE Integration
Summarization & Explanation
Natural Language Generation
Commenting
Multi-Language Support
Bug Detection
Unit Tests
Refactoring
Vendor Capability Ratings
Ease of Implementation
Business Value Created
Usability and Intuitiveness
Breadth of Features
Quality of Features
Ease of Data Integration
Availability and Quality of Training
Ease of IT Administration
Product Strategy and Rate of Improvement
Vendor Support
Ease of Customization
GitHub Copilot Reviews
Dinesh S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Jul 2025
Boosts Productivity and Creativity,
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
GitHub Copilot is unique because it’s deeply embedded into development environments like VS Code, making its suggestions feel like a natural extension of the coding process. Unlike other tools that focus on auto-complete or boilerplate generation, Copilot understands context better and can even suggest full functions or logic based on just a few lines of comments or code. Its backing by OpenAI and GitHub also means it's trained on a wide array of open-source projects, giving it a diverse and practical knowledge base.
What is your favorite aspect of this product?
The best thing about Copilot is how it speeds up routine coding tasks and helps you stay in the flow. Whether it's generating unit tests, stubbing out repetitive logic, or suggesting useful libraries, it significantly reduces the time spent on boilerplate or research. It also helps spark ideas—sometimes offering a solution you hadn't even considered yet.
What do you dislike most about this product?
While Copilot is powerful, it’s not perfect. It occasionally generates insecure or inefficient code, especially for complex or business-specific logic. There’s also the risk of over-reliance; junior developers might accept suggestions without fully understanding them. The model doesn’t always respect your existing code style either, which can create inconsistencies in larger teams.
What recommendations would you give to someone considering this product?
Encourage developers to treat it as a supportive assistant—not a replacement for critical thinking. Make sure code reviews remain in place, and integrate Copilot into an environment with good version control and testing practices. Also, involve your security and legal teams early on to address any concerns about code provenance and IP.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Arunkumar S.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jul 2025
A coding assistant that boosts productivity daily
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
copilot feels like pairing Programming with an AI, it predicts whole lines or blocks of code, not just autocompletes, it saves tons of thinking time.
What is your favorite aspect of this product?
I love how it understands the context of my code and suggests full functions, like having a smart coding buddy who never gets tired.
What do you dislike most about this product?
sometimes it suggests code that looks right but doesn't actually work, so you still need to double check everything it writes.
What recommendations would you give to someone considering this product?
It is super helpful for repetitive code, great for speeding things up, but you'll still need to think through the logic yourself.
Pros
- Enables Productivity
- Efficient Service
- Fair
- Includes Product Enhancements
Please tell us why you think this review should be flagged.
YUVARAJ S.
- Role: Operations
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2025
Code Assistant That Boosts Developer Productivity.
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
GitHub Copilot stands out by providing AI-driven, context-aware code suggestions directly within popular code editors like Visual Studio Code.
What is your favorite aspect of this product?
The best feature of GitHub Copilot is its ability to intelligently autocomplete code based on the current context, including comments and code structure.
What do you dislike most about this product?
While powerful, GitHub Copilot can sometimes generate incorrect or inefficient code, requiring diligent review.
What recommendations would you give to someone considering this product?
For those considering GitHub Copilot, start by using it as a coding assistant rather than a replacement. Always review AI-generated code for correctness and security.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
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