GitHub Copilot vs. GitLab Duo

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
GitLab Duo
Score 0.0 out of 10
N/A
GitLab Duo is an AI code assistant that from planning and coding to securing and deploying, supports developers at every stage of their workflow. GitLab Duo lets users control which users, projects, and groups can use AI-powered capabilities.N/A
Pricing
GitHub CopilotGitLab Duo
Editions & Modules
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
per month per user
No answers on this topic
Offerings
Pricing Offerings
GitHub CopilotGitLab Duo
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsGitLab Duo is available for GitLab Premium and Ultimate customers. GitLab Duo Pro is available for $19 per month / per user. Contact sales for pricing on GitLab Duo Enterprise.
More Pricing Information
User Ratings
GitHub CopilotGitLab Duo
Likelihood to Recommend
9.0
(8 ratings)
-
(0 ratings)
Usability
8.8
(7 ratings)
-
(0 ratings)
User Testimonials
GitHub CopilotGitLab Duo
Likelihood to Recommend
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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GitLab
No answers on this topic
Pros
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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GitLab
No answers on this topic
Cons
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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GitLab
No answers on this topic
Usability
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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GitLab
No answers on this topic
Alternatives Considered
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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GitLab
No answers on this topic
Return on Investment
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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GitLab
No answers on this topic
ScreenShots