
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.
88 Likeliness to Recommend
1
Since last award
95 Plan to Renew
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
Refactoring
Unit Tests
Bug Detection
Vendor Capability Ratings
Ease of Implementation
Business Value Created
Breadth of Features
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Product Strategy and Rate of Improvement
Availability and Quality of Training
Ease of IT Administration
Vendor Support
Ease of Customization
GitHub Copilot Reviews

Nitin G.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2025
GitHub Copilot: A Powerful Coding Assistant with C
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
GitHub Copilot stands out with deep GitHub integration, real-time AI-powered code suggestions, and context-aware autocompletion. It leverages OpenAI鈥檚 Codex for multi-language support, seamless IDE compatibility, and enterprise security features. Unlike competitors, it learns from GitHub鈥檚 vast codebase, offering optimized suggestions tailored to developers' workflows within GitHub and Microsoft ecosystems.
What is your favorite aspect of this product?
I鈥檇 say its context-awareness and seamless integration are the best aspects. GitHub Copilot doesn鈥檛 just autocomplete code鈥攊t understands comments, function names, and surrounding context to generate relevant suggestions. This makes coding faster and smoother, especially for repetitive tasks or exploring unfamiliar languages, reducing cognitive load for developers.
What do you dislike most about this product?
One major downside is its occasional lack of accuracy and relevance鈥攊t sometimes generates incorrect, inefficient, or unnecessary code, requiring careful review. Also, security concerns arise since it may suggest code snippets similar to public repositories, potentially introducing licensing or vulnerability risks. Over-reliance can also hinder deeper coding understanding.
What recommendations would you give to someone considering this product?
Evaluate GitHub Copilot based on your team's workflow, coding style, and security needs. Use it to boost productivity but review suggestions carefully. Start with a trial, train developers on best practices, and combine it with code reviews. Consider enterprise options for compliance. Balance automation with critical thinking for optimal results.
Pros
- Enables Productivity
- Effective Service
- Inspires Innovation
- Respectful
Jatin G.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Feb 2025
Easy to use AI code completor
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
easy integration to visual studio
What is your favorite aspect of this product?
time saved
What do you dislike most about this product?
code completion
What recommendations would you give to someone considering this product?
easy to use and implement
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing

Karl Louise R.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Feb 2025
A Powerful AI Assistant That Speeds Up Coding.
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
GitHub Copilot distinguishes itself through its deep integration with the GitHub ecosystem and its comprehensive training on a vast amount of publicly available code, enabling a range of AI-powered features to assist developers throughout the entire software development lifecycle. Its tight integration with GitHub offers a seamless experience, while its code completion and generation capabilities, driven by contextual awareness, provide real-time and relevant suggestions. Beyond code completion, Copilot assists with debugging, documentation, testing, and more, all enhanced by AI. With customization options, function calling, a chat interface,
What is your favorite aspect of this product?
My favorite aspect of GitHub Copilot is its ability to quickly generate boilerplate code and suggest common solutions, saving me significant time and reducing repetitive coding tasks.
What do you dislike most about this product?
What I dislike most about GitHub Copilot is its occasional tendency to suggest incorrect or insecure code, requiring careful review and potentially introducing vulnerabilities if blindly accepted.
What recommendations would you give to someone considering this product?
If you're considering GitHub Copilot, I recommend starting with a trial period to evaluate its impact on your specific workflow and coding style. Be aware of its strengths in generating boilerplate and suggesting common patterns, but always critically review its suggestions, especially concerning security-sensitive code. Explore its customization options to fine-tune its behavior to your preferences, and consider its cost in relation to the productivity gains it offers for your specific use case. Also, be mindful of potential licensing implications when using code generated by Copilot.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing