Amazon CodeWhisperer vs. GitHub Copilot

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon CodeWhisperer
Score 8.0 out of 10
N/A
Amazon CodeWhisperer is an AI coding companion. Trained on billions of lines of code, it can generate code suggestions ranging from snippets to full functions in real time based on comments and existing code. It bypasses time-consuming coding tasks and accelerates building with unfamiliar APIs.N/A
GitHub Copilot
Score 8.9 out of 10
N/A
GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
Pricing
Amazon CodeWhispererGitHub Copilot
Editions & Modules
No answers on this topic
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
per month per user
Offerings
Pricing Offerings
Amazon CodeWhispererGitHub Copilot
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
User Ratings
Amazon CodeWhispererGitHub Copilot
Likelihood to Recommend
-
(0 ratings)
9.0
(8 ratings)
Usability
-
(0 ratings)
8.8
(7 ratings)
User Testimonials
Amazon CodeWhispererGitHub Copilot
Likelihood to Recommend
Amazon AWS
No answers on this topic
GitHub
Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.
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Pros
Amazon AWS
No answers on this topic
GitHub
  • Make code development faster and quicker.
  • Helps write better code standards for projects.
  • Provide the latest functions from the technology.
  • Notifies about the deprecated functions.
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Cons
Amazon AWS
No answers on this topic
GitHub
  • The only issue I faced is the context token size, it can be increase.
  • Sometime with agent mode it takes too much time, which can be reduced but I understand it also depends on the complexity of the given task.
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Usability
Amazon AWS
No answers on this topic
GitHub
I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.
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Alternatives Considered
Amazon AWS
No answers on this topic
GitHub
It is useful that copilot integrates so well with vscode, which is a very common IDE. I used Tabnine for a little while but it was not that intuitive, and did not seem as helpful as GitHub copilot was. I have enjoyed GitHub copilot a lot, especially the ease of hitting the tab key and seeing quick progress in my tasks.
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Return on Investment
Amazon AWS
No answers on this topic
GitHub
  • Our ROI of the purchase of Copilot was met in less than a day. The timesave cannot be overstated
  • Programmer boredom/dissatisfaction is down because of less repetetive crud work.
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ScreenShots