GitHub Copilot vs. Mutable.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GitHub Copilot
Score 9.1 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
Mutable.ai
Score 0.0 out of 10
N/A
Mutable.ai for codebases helps software developers by using AI codegen to create features, or refactor multiple files. It also offers AI enhanced explanation and search to understand any codebase, suggested improvements to code and squash bugs, progress reports generated automatically for monitoring updates to a codebase, and the ability to switch from a laptop to the cloud and back with its cli tool.
$10
per month per seat
Pricing
GitHub CopilotMutable.ai
Editions & Modules
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
per month per user
Basic
$10
per month per seat
Codebase Pro
$25
per month per seat
Enterprise
Contact Sales
Offerings
Pricing Offerings
GitHub CopilotMutable.ai
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
User Ratings
GitHub CopilotMutable.ai
Likelihood to Recommend
10.0
(0 ratings)
-
(0 ratings)
Usability
9.5
(0 ratings)
-
(0 ratings)
User Testimonials
GitHub CopilotMutable.ai
Likelihood to Recommend
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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No answers on this topic
Pros
  • Fills in popular functions that we use throughout our code base.
  • Offers solutions to bugs and errors in the code.
  • Reads the docs for things that we may have missed.
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Cons
  • Sometimes generates nonsensical code, "hallucination," which can require additional review and correction
  • Sometimes can contain security vulnerabilities
  • It is a paid service
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Usability
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
I used Cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many coupons to write prompts.
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Return on Investment
  • It has very positive impact in our organization, it saves lots of time.
  • Helps us to build more efficient and secure Apps.
  • Helps in fast product development.
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ScreenShots