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
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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
- Efficient Service
- Helps Innovate
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
Ease of Data Integration
Product Strategy and Rate of Improvement
Availability and Quality of Training
Ease of IT Administration
Ease of Customization
Vendor Support
GitHub Copilot Reviews
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
AI coding Assistant, innovate.
Likeliness to Recommend
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Unique Features
Mohd K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
A Deep Dive into GitHub Copilot
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
Copilot stands out with its deep GitHub integration and vast training data on real-world code. This translates to better suggestions beyond just code completion.
What is your favorite aspect of this product?
GitHub Copilot's strength lies in its ability to streamline development. By automating repetitive tasks and suggesting full functions based on context, it frees developers to focus on core problems
What do you dislike most about this product?
Potential for errors: Overly trusting Copilot's suggestions without proper review could lead to bugs or security vulnerabilities in the code. Limited paradigm support: Its focus on object-oriented programming might make it less effective for developers working in other paradigms.
What recommendations would you give to someone considering this product?
Consider Copilot if you're an experienced developer comfortable with a subscription fee. It excels at speeding up development in object-oriented languages.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Trustworthy
Akshat A.
- Role: Information Technology
- Industry: Education
- Involvement: IT Leader or Manager
Submitted Apr 2024
Easy to use, but a bit pricey
Likeliness to Recommend
What differentiates GitHub Copilot from other similar products?
Code generation and autocompletion: As developers type their code, CoPilot AI employs machine learning models to produce code suggestions and autocompletions. Based on the context and patterns discovered from a vast corpus of publicly available code, it can offer pertinent code snippets. Coding can be done more quickly and with less manual typing thanks to this functionality. CoPilot AI supports a variety of programming languages, including well-known ones like Python, JavaScript, Java, C++, and many others. Because of its adaptability, CoPilot AI may be used by developers in a variety of projects and languages, offering dependable help and
What is your favorite aspect of this product?
Potential leads can be identified based on the specific attributes that you are looking for, allowing for a comprehensive lead list. With the automation, you are able to reach a wide range of people quickly and easily. One of the most effective ways to do cold outreach, with high response rates and a high ROI.
What do you dislike most about this product?
You need to work hard to "disguise" automation. Too many users are misusing CoPilot, so to get a response, you need to make it look like you're NOT using it.
What recommendations would you give to someone considering this product?
Using email to cold outreach potential leads can often be ineffective, as emails can easily land in Spam or Promotions folders and be ignored. CoPilot AI allows you to connect with folks via LinkedIn, which makes the interaction feel more secure & personalized than a cold email. It also is helpful when searching for potential leads, as the program allows you to filter for specific industries, roles, and interests which allows you to create a pipeline that is truly aligned with your organization and outreach criteria.
Pros
- Helps Innovate
- Unique Features
- Efficient Service
- Saves Time
Cons
- Leverages Incumbent Status