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Cody AI Coding Assistant VS GitHub Copilot

Let’s have a side-by-side comparison of Cody AI Coding Assistant vs GitHub Copilot to find out which one is better. This software comparison between Cody AI Coding Assistant and GitHub Copilot is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Cody AI Coding Assistant or GitHub Copilot fits your business.

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Overview of Cody AI vs GitHub Copilot

As per IEEE surveys, AI technologies will hold a 58% market share in the software development segment in 2025, after cloud computing at 26% and robotics at 24%. This transition has made AI powered code assistants indispensable tools for developers. GitHub Copilot and Cody AI are two well-known AI coding assistants. However, their features, code automation, and integration capacities vary. We have compared these two tools based on some important criteria below.

Key Differences

  • GitHub Copilot mostly focuses on the current file and a small amount of surrounding context. In contrast, Cody offers better multi-file context understanding.
  • While Copilot is exclusively built on OpenAI's GPT models, Sourcegraph Cody incorporates several large language models (LLMs), including Claude, Mistral, GPT, and Gemini.
  • Cody AI is made with an emphasis on team collaboration and enterprise-level complex projects. While GitHub Copilot is more suited for individual developers and small teams looking for simple code help.

Pricing

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Ratings

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4.4

7 Ratings & 0 Reviews

95% Likelihood to Recommend

Reviews

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Best Use for

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Business Size:

  • img Individual
  • img 2-50 Employees
  • img 51-250 Employees
  • img 250-500 Employees
  • img 500​-​1000 Employees
  • img More than 1000+ Employees
  • img Individual
  • img 2-50 Employees
  • img 51-250 Employees
  • img 250-500 Employees
  • img 500​-​1000 Employees
  • img More than 1000+ Employees

Business Type:

  • img Small Business
  • img Startups
  • img Medium Business
  • img Enterprise
  • img SMBs
  • img SMEs
  • img MSMBs
  • img MSMEs
  • img Freelancers
  • img Small Business
  • img Startups
  • img Medium Business
  • img Enterprise
  • img SMBs
  • img SMEs
  • img MSMBs
  • img MSMEs
  • img Freelancers

Industries:

  • imgAll Industries
  • imgAll Industries

We provide the best software solution for your business needs

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Features

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Product features

  • checked Code Aware Intelligence
  • checked Code Explanation
  • checked Code Smells
  • checked Translate Language
  • checked Smart Code Navigation
  • checked Reference Tracking
  • checked AI Generated Code
  • checked Code Generation
  • checked Document Generation
  • checked Collaborative Coding
  • checked Automation & CI/CD
  • checked Security
  • checked Client Apps
  • checked Project Management
  • checked Team Administration
  • checked Community

Specifications

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Deployment

  • img Web based
  • img On Premises
  • img Web based
  • img On Premises

Device Supported

  • img Desktop
  • img Mobile
  • img iPad
  • img Tablet
  • img Desktop
  • img Mobile
  • img iPad
  • img Tablet

Supported Platforms

  • img Windows
  • img Mac OS
  • img Android
  • img iOS
  • img Linux
  • img Ubuntu
  • img Windows
  • img Mac OS
  • img Android
  • img iOS
  • img Linux
  • img Ubuntu

Languages support

  • imgEnglish
  • imgEnglish

Question and Answers

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How do I trigger a Copilot suggestion in GitHub? img

To trigger a Copilot suggestion in GitHub: Select GitHub Copilot from the ... Read more

How to get github copilot for for students? img

GitHub Copilot is available to all GitHub users, including students. You can sim... Read more

How long is the GitHub copilot waitlist? img

GitHub is only giving access to a restricted testers for free. Their aim is to p... Read more

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Similar Comparison

Cody AI Coding Assistant vs GitHub Copilot Comparison FAQs

Software questions,
answered

The choice depends on your needs. Copilot excels at code generation and completion, while Cody AI is stronger at understanding large codebases and repository-wide context.

Developers choose Copilot for its powerful real-time code suggestions and seamless integration with the GitHub ecosystem, making it excellent for rapid development.

Large enterprises prefer Cody AI for its superior ability to analyze and understand massive codebases across multiple repositories, along with its strong code search capabilities.

Both tools are user-friendly, but Copilot is often easier for beginners, while Cody AI offers better capabilities for complex, large-scale projects.

Both excel in different areas, Copilot leads in real-time code generation, while Cody AI dominates in codebase understanding and search capabilities.

Cody AI offers advanced repository-wide context understanding and can analyze patterns across multiple files. On the other hand, Copilot focuses more on immediate file context and suggestions.

GitHub Copilot and Cody AI are among the leading options. Copilot excels in code generation and Cody in codebase comprehension. While other notable tools include Amazon CodeWhisperer and TabNine.

A Quick Comparison Between Cody AI Coding Assistant vs GitHub Copilot

Choosing any software for your organisation is a crucial decision. As a decision maker, you must ensure that the software you choose addresses the pain points of your teams and reaps maximum benefit for you.

  • What is Cody AI?
  • What is GitHub Copilot?
  • Key Differences Between Cody AI and GitHub Copilot
  • Detailed Comparison of Cody and Copilot
  • Cody AI and Copilot: Code Generation & Understanding
  • GitHub Copilot vs Cody AI: Context Awareness
  • Cody vs Copilot: Multi-language Support
  • Cody vs GitHub Copilot: Integrations & Development Environments (IDE)
  • Cody AI vs Copilot: Security Considerations
  • Cody AI vs GitHub Copilot: Pricing
  • Cody vs Copilot: Use Cases
  • Cody AI Best For:
  • GitHub Copilot Best For:

What is Cody AI?

Cody AI is the most recent AI-powered coding assistant that helps developers by automating repetitive tasks, proposing code autocompletions, and helping with documentation. Code generation, debugging, and refactoring are just a few of the things it assists with by utilising the power of large language models like GPT-3 and integrating straight into development environments (IDE).

What is GitHub Copilot?

GitHub Copilot is one of the most popular AI code generators in the developer community. It was created by GitHub and OpenAI. Based on the OpenAI Codex model, it helps engineers by offering code completions and ideas in real-time. GitHub Copilot is well-known for its extensive dataset, which includes open-source code, and is closely integrated with well-known IDEs like Visual Studio Code.

Key Differences Between Cody AI and GitHub Copilot

Comparison: Cody AI vs GitHub Copilot
Feature Cody AI GitHub Copilot
Code Completion Available More Advanced
Repository-wide Context More Advanced Available
Multi-repository Context Available Not Available
Multi-file Search Advanced Available
Natural Language to Code Available Advanced
Code Explanation Advanced Available
Test Generation Available Advanced
Documentation Generation Advanced Available
Refactoring Suggestions Advanced Available
IDE Integration Advanced Advanced
API Integration Available Not Available
CLI Integration Available Not Available
Offline Mode Not Available Not Available
Custom Model Training Not Available Available
Code Security Scanning Available Advanced
Multi-language Support Advanced Advanced
API Access Available Available
Command Line Interface Advanced Available
Deployment Mode Self-hosted and Cloud Cloud only
Self-hosted LLM Support Available Not Available
Support for Amazon Bedrock, Azure OpenAI, and Google Cloud Vertex AI Available Not Available
Free Plan Available Available
Pricing Starting from $9 per month Starting from $4 per month
Reviews Cody AI Reviews GitHub Copilot Reviews

Detailed Comparison of Cody and Copilot

In this detailed comparison, we will explore their core features, differences, and use cases, and help you understand when to use each one.

Cody AI and Copilot: Code Generation & Understanding

Cody AI tool understands large and complex codebases and provides accurate code suggestions considering the overall project structure. It works especially well for enterprise-level applications because it uses advanced algorithms to produce contextually relevant code snippets. In contrast, GitHub Copilot offers real time code suggestions that are focused on the recent context of the current file. While it performs well with common coding patterns, it may struggle with more complex or customized code scenarios.

GitHub Copilot vs Cody AI: Context Awareness

Cody AI has better context awareness for analysing the entire codebase. It keeps track of different files and components. This allows Cody to provide suggestions that are not only relevant but also aligned with the broader structure of the application. Whereas GitHub Copilot is effective within a single file but often lacks this multi-file context. This limits effectiveness in larger projects where understanding interdependencies is crucial.

Cody vs Copilot: Multi-language Support

These AI-assistants support multiple programming languages but the difference between Cody and GitHub Copilot’s effectiveness varies. Cody is designed to handle a wider array of languages and frameworks. On the other hand, the Copilot AI tool excels only in popular languages like Python and JavaScript but may encounter challenges with less common languages or specific domain-related syntax. This drawback affects the overall utility for developers working in different environments.

Cody vs GitHub Copilot: Integrations & Development Environments (IDE)

Cody AI integrates with various development environments and tools, including Sourcegraph. It is appropriate for enterprise settings that place a high priority on data security and privacy because it allows on-premises deployments. In contrast, GitHub Copilot doesn’t have the comprehensive integration features needed for large team setups. However, it is mostly integrated into well-known IDEs like Visual Studio Code and JetBrains IDEs that provide a simple setup for individual engineers.

Cody AI vs Copilot: Security Considerations

In terms of security, Cody AI places a strong emphasis on data privacy, particularly in enterprise settings where sensitive information is handled. Its on-premises deployment options allow organizations to maintain control over their codebases without exposing them to external servers. Conversely, GitHub Copilot operates in a cloud-based environment, which raises potential concerns about data leakage or exposure of proprietary code during the suggestion process. This difference makes Cody a more appealing option for teams focused on stringent security protocols.

Cody AI vs GitHub Copilot: Pricing

Cody AI pricing plans and GitHub Copilot pricing plans allow users to select between free, individual and enterprise-level subscriptions. If you choose Sourcegraph Cody, then Enterprise-level subscriptions are affordable, starting from $19 per month per user. Whereas GitHub offers $21 per month per user. But for small teams and individual developers, Copilot AI cost is cheaper with plans starting from $4 per month as compared to Cody’s $9 per month.

Cody vs Copilot: Use Cases

Cody AI Best For:

  • Large codebase navigation and understanding
  • Teams working across multiple repositories
  • Projects requiring extensive code search
  • Refactoring and maintenance tasks
  • Code documentation and explanation

GitHub Copilot Best For:

  • Active development and new code writing
  • Individual developers
  • GitHub-centric workflows
  • Rapid prototyping
  • Learning new programming languages
  • Cody and Copilot Setup

Cody must be set up by integrating it into current development workflows using Sourcegraph or other systems. It enables teams to take advantage of Cody AI's advanced search capabilities across sizable repositories. On the other hand, GitHub Copilot provides a simpler setup process as a plugin for well-known IDEs like Visual Studio Code. It allows users to begin receiving real-time suggestions instantly after installation.

Conclusion

In summary, Cody AI and GitHub Copilot both provide useful capabilities catered to developers’ demands and project specifications. While GitHub Copilot provides quick coding help perfect for individual engineers working on smaller projects, Cody is excellent at complex big codebases and making context-aware recommendations appropriate for enterprise settings. The particular requirements of the development environment and the difficulty of the tasks at hand will eventually determine which option is best.

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