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
82 Satisfaction of Cost Relative to Value
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
- Enables Productivity
- Respectful
- Continually Improving Product
- 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
Commenting
Natural Language Generation
Multi-Language Support
Unit Tests
Refactoring
Bug Detection
Vendor Capability Ratings
Ease of Implementation
Business Value Created
Quality of Features
Breadth of Features
Usability and Intuitiveness
Product Strategy and Rate of Improvement
Availability and Quality of Training
Ease of Data Integration
Ease of IT Administration
Ease of Customization
Vendor Support
GitHub Copilot Reviews
Aman K.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
very easy to use
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
Copilot excels in natural language understanding, allowing developers to write code using plain English descriptions.
What is your favorite aspect of this product?
Copilot turns natural language prompts into coding suggestions across dozens of languages, suggests auto-complete for code
What do you dislike most about this product?
I don't have any deslikes
What recommendations would you give to someone considering this product?
I don't have any recommendations
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Siddharth P.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2026
GitHub Copilot: AI collaborator, not a replacement
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
Github Copilot is different from other similar products as it can understand relationship between multiple files in a project as well as generate tests on the basis of behaviour of the code . The problem with other similar products is that they often treat each file in isolation and which causes struggle with deeper context as their context size is not that large . One main thing is that other similar products try to mimic code patterns from the training data whereas Github copilot feels better in that sense as it is mainly trained from millions of public repositories and pull requests not from some isolated code in a jupyter notebook .
What is your favorite aspect of this product?
My favourite aspect of Github Copilot is that it isn't powered by a single AI model , it has options for using all the leading AI models available in the market . They not only provide access to these models , they keep on continuously integrating various sort of improvements which , I personally feel is the reason why most of the people even in my company are using it on daily basis . Not only the AI models help in writing code they can even write commands on terminals if you give them access and they can even commit the code or pull a code which sort of removed burden from people's head as they no longer need to remember multiple commands .
What do you dislike most about this product?
One major downside of the product is that sometime it pretends to be overly confident and sort of provides suggestion which are quite incorrect but a person using it for the first time may fall prey to it as they may not be able to pick that up as it says quite confidently even about an incorrect solution . So , it is important that whenever a change is being made the person sees it carefully as many times bugs may be rectified but the purpose still might not be getting fulfilled and when you will interospect in deep you will understand the bug is still there but now the code is failing silently instead failing on test cases .
What recommendations would you give to someone considering this product?
I think in the age of AI , a product like Github Copilot perfectly addresses the painpoints of millions of developers worldwide. It is a perfect solution for reducing time in repetative coding tasks so that developers can focus more on system design side . However , I'll suggest young developers using it as a collaborator in work and not sort of an autopilot for coding . What , I have encountered from my experience is that the best results come only when you review its suggestions and treat it as a productivity booster and focus on making core engineering as still ideas are meant to be made by humans as AI is just putting them together.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Akshay Y.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2026
The best AI assistant you need for development
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
Its integration with IDEs liek Visual Studio, this itself beats most of the AI products.
What is your favorite aspect of this product?
Speeds up routine coding and boilerplate stuff, especially for familiar languages
What do you dislike most about this product?
Sometimes messes up with deep project context and sometimes suggests confident but incorrect answers
What recommendations would you give to someone considering this product?
Use it as a productivity aid, not a source of truth. review and understand the generated code first before committing, as it often contains wrong code if context is not feeded properly
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
