GitHub Copilot Logo Award Winner Product Badge
GitHub Copilot Logo Award Winner Product Badge
GitHub, Inc.

GitHub Copilot

Composite Score
8.7 /10
CX Score
9.1 /10
Category
GitHub Copilot
8.7 /10

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.

Company Details


Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

GitHub Copilot won the following awards in the AI Code Generation category

Filter By

GitHub Copilot Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on GitHub Copilot.

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

95 Plan to Renew

82 Satisfaction of Cost Relative to Value

1
Since last award


Emotional Footprint Overview

Chart with 5 data points.
The chart has 1 X axis displaying categories.
The chart has 1 Y axis displaying values. Range: 0 to 100.
End of interactive chart.
{y}
{name}

Emotional Footprint Overview

Product Experience:
94%
Negotiation and Contract:
92%
Conflict Resolution:
95%
Strategy & Innovation:
95%
Service Experience:
96%

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?

Chart

Bar chart with 10 data series.
The chart has 1 X axis displaying values. Range: -0.5 to 0.5.
The chart has 1 Y axis displaying values. Range: 0 to 100.
End of interactive chart.
2% Negative
4% Neutral
94% Positive

Pros

  • Respectful
  • Helps Innovate
  • Continually Improving Product
  • Enables Productivity

Feature Ratings

Average 79

Code Completion

85

IDE Integration

84

Natural Language Generation

82

Commenting

81

Summarization & Explanation

80

Multi-Language Support

78

Refactoring

77

Bug Detection

77

Unit Tests

76

Vendor Capability Ratings

Average 79

Ease of Implementation

84

Business Value Created

82

Breadth of Features

81

Usability and Intuitiveness

81

Quality of Features

81

Ease of Data Integration

79

Product Strategy and Rate of Improvement

77

Ease of IT Administration

77

Availability and Quality of Training

76

Vendor Support

75

Ease of Customization

75

GitHub Copilot Reviews

Arghadeep D.

  • Role: Student Academic
  • Industry: Engineering
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Mar 2024

An essential tool for all coders

Likeliness to Recommend

10 /10

What differentiates GitHub Copilot from other similar products?

Its ease of implementation, support, the recommendations for code completion and generation are some of the few points that make it distinguished from its peer products.

What is your favorite aspect of this product?

My favorite aspect about Github Coplit is its completion/generation abilities. Such is its capability that, even when I am following a tutorial about a new tech-stack, it can automatically generate the exact same code as demonstrated by the teacher, using the same example, which really shows its machine learning prowess.

What do you dislike most about this product?

I think Copilot can improve further by showing at least 2 different auto-completion/generation previews instead of just one. Sometimes while coding, I need to add comment lines to play around with copilot so that it gives me new suggestions ,which makes it a bit unproductive sometimes. Hence the suggestion.

What recommendations would you give to someone considering this product?

Although, using Github Copilot is a good thing as it saves time and inproves productivity, but we still shouldn't rely 100% on AI. We should have clear knowledge of the code auto-completed/generated by copilot as it may otherwise waste a lot of time of ours later, when we would need to integrate the code in other areas / when we would need to add new features whilst keeping the old ones.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Enables Productivity

Most Popular GitHub Copilot Comparisons