Software Alternatives, Accelerators & Startups

GitHub Copilot VS Cody AI

Compare GitHub Copilot VS Cody AI and see what are their differences

GitHub Copilot logo GitHub Copilot

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

Cody AI logo Cody AI

Read, write, and understand code 10x faster with AI
  • GitHub Copilot Landing page
    Landing page //
    2023-10-03

Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.

  • Cody AI Landing page
    Landing page //
    2023-09-01

GitHub Copilot features and specs

  • Productivity Boost
    GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
  • Learning Tool
    For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
  • Support for Multiple Languages
    Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
  • Context-Aware Suggestions
    Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
  • Integration with GitHub
    Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.

Possible disadvantages of GitHub Copilot

  • Code Quality Concerns
    The quality of the code generated by Copilot may vary, and it might introduce suboptimal code or practices that could lead to maintenance challenges.
  • Security Risks
    Copilot might suggest insecure code patterns or snippets, potentially introducing vulnerabilities into the project if not carefully reviewed by the developer.
  • Dependence on AI
    Over-reliance on Copilot's suggestions can lead to a lack of deep understanding of the code, which may hinder a developer's growth and problem-solving skills.
  • Licensing and Code Reuse Issues
    There are concerns about the legality and ethics of using AI-generated code snippets that might be derived from copyrighted sources, which can lead to licensing issues.
  • Limited Customizability
    Copilot may not always align with specific coding standards or preferences of a development team, and the ability to customize its behavior to enforce such standards is limited.

Cody AI features and specs

  • Integration with Sourcegraph
    Cody AI is integrated with Sourcegraph, allowing it to leverage code intelligence features and provide enhanced code search capabilities.
  • Code Understanding
    Cody AI has the ability to understand code in context, enabling it to offer more precise and relevant suggestions and solutions for code-related queries.
  • Collaboration Features
    It offers collaboration tools where multiple developers can discuss and improve code together, enhancing team productivity.
  • Efficiency
    By providing quick access to code information and suggestions, Cody AI can significantly enhance coding efficiency and productivity for developers.

Possible disadvantages of Cody AI

  • Limited Language Support
    Cody AI might not support all programming languages, which can be restrictive for developers working in less common languages.
  • Learning Curve
    Users might experience a learning curve to become proficient in utilizing all of Cody AI's features effectively.
  • Dependency on Sourcegraph Ecosystem
    Cody AI is heavily integrated into the Sourcegraph environment, which might require users to adopt or already be part of this ecosystem.
  • Potential Cost Implications
    Depending on the usage and Sourcegraph’s pricing model, there might be cost implications for using Cody AI, especially for extensive projects or large teams.

GitHub Copilot videos

Game over… GitHub Copilot X announced

More videos:

  • Review - The New GitHub Copilot X Powered by GPT-4 is Here!
  • Review - GitHub Copilot X -- AI Programming Gets Better... and Scary.
  • Review - GitHub Copilot Review 2023: I Love It, But It's Not For Everyone
  • Review - Is Github Copilot Worth Paying For??

Cody AI videos

How To Use Cody AI For Business

More videos:

  • Demo - Cody AI demo with Beyang Liu - Sourcegraph

Category Popularity

0-100% (relative to GitHub Copilot and Cody AI)
Developer Tools
90 90%
10% 10
AI
89 89%
11% 11
Coding
100 100%
0% 0
Code Autocomplete
77 77%
23% 23

User comments

Share your experience with using GitHub Copilot and Cody AI. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare GitHub Copilot and Cody AI

GitHub Copilot Reviews

  1. Stan
    · Founder at SaaSHub ·
    Indispensable

    It definitely increases my productivity.

    🏁 Competitors: Tabnine

Cursor vs Windsurf vs GitHub Copilot
GitHub Copilot Chat is similar — you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Cursor vs GitHub Copilot
GitHub Copilot Chat is similar — you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Top 10 Vercel v0 Open Source Alternatives | Medium
Next up, we have GitHub Copilot, a popular AI-powered code completion tool that’s been making waves in the developer community. Built on top of OpenAI Codex, Copilot integrates seamlessly with various code editors and IDEs to provide intelligent code suggestions as you type.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
GitHub Copilot is an excellent tool for developers, allowing them to boost their workflow and project quality. Are you looking for a GitHub Copilot alternative that fits your needs in 2024? Whether you’re searching for a free GitHub Copilot alternative, an open-source alternative to GitHub Copilot, or a tool that works well with VSCode, this guide is here to help.
The Best GitHub Copilot Alternatives for Developers
Moreover, GitHub Copilot provides a wide range of functionalities, such as code explanation, answering coding questions, refactoring code, and generation of unit tests and docs. With it, developers can automate coding tasks, improve productivity and focus more on complex coding. GitHub Copilot supports various programming languages, including JavaScript, Python, Ruby, Go,...
Source: softteco.com

Cody AI Reviews

10 Best Github Copilot Alternatives in 2024
Cody is a powerful AI assistant that helps developers write code faster by providing real-time suggestions. It’s a solid GitHub Copilot alternative for developers who want to improve their coding efficiency.
6 GitHub Copilot Alternatives You Should Know
SourceGraph Cody is a development tool that enhances code search and intelligence within your codebase. It uses two LLMs: OpenAI’s GPT and Anthropic Claud. It’s designed to help developers navigate large codebases more effectively and gain insights into how their code connects and functions. Cody provides a powerful search engine for code, enabling developers to quickly find...
Source: swimm.io

Social recommendations and mentions

Based on our record, GitHub Copilot seems to be a lot more popular than Cody AI. While we know about 284 links to GitHub Copilot, we've tracked only 26 mentions of Cody AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GitHub Copilot mentions (284)

  • Most Effective Approaches for Debugging Applications
    Artificial intelligence is transforming debugging by accelerating bug detection and suggesting fixes. Bill Mann, Privacy Expert at Cyber Insider, recounts, “I enlisted an LLM to help me, and within a few minutes, found the offending code and sorted out a workaround.” Tools like GitHub Copilot, DeepCode, or CodeQL analyze code patterns, identifying issues faster than manual reviews. A 2024 Gartner report predicts... - Source: dev.to / 5 days ago
  • Top 10 Vibe Coding AI Tools Every Developer Needs in 2025
    GitHub Copilot uses OpenAI to provide autocomplete suggestions, generate entire code blocks, and even write tests based on comments. It supports a wide range of languages and integrates seamlessly with VS Code. - Source: dev.to / 16 days ago
  • The 10 best AI coding tools for 2025
    GitHub Copilot's model flexibility is something you may want to try. It lets you switch between Anthropic's Claude 3.5 Sonnet, OpenAI o3, and GPT-4o, depending on your task. This means you can use preferred models for different coding problems, optimizing for speed with one model and deep reasoning with another, without switching tools. - Source: dev.to / 18 days ago
  • AI in Software Development: Exploring Key Opportunities and Overcoming Challenges
    AI is increasingly being utilized to assist with the coding, either by proposing from earlier work or by automatically producing boilerplate code. This makes it possible to save much time that would have otherwise been taken writing from scratch. Tools such as GitHub Copilot, using OpenAI, are but one method with which AI is able to explore the patterns that exist in available code and present optimized solutions.... - Source: dev.to / 23 days ago
  • Experimenting with Cursor
    Recently, the team experimented with Cursor, an AI-powered code editor, to replace GitHub Copilot. - Source: dev.to / 26 days ago
View more

Cody AI mentions (26)

  • Top 10 Vibe Coding AI Tools Every Developer Needs in 2025
    Cody is an enterprise-focused AI assistant that integrates with your IDE to provide intelligent code suggestions, architectural insights, and project-specific assistance. It connects with tools like Jira and Notion for enhanced workflow alignment. - Source: dev.to / 16 days ago
  • Handle remote tool calling with Model Context Protocol
    MCP hosts MCP hosts handle communication between the servers and client, for example, in the form of a chat application or IDE. Popular hosts include Claude Desktop, Zed, and Sourcegraph Cody. See MCP: Example clients for the complete list of supported hosts/clients. - Source: dev.to / 16 days ago
  • Steps to manipulate the Postgres database with AI
    AI coding assistant Cody can be paired with PostgreSQL to simplify tasks like optimising queries and managing complex database operations such as table creation and data retrieval. - Source: dev.to / 21 days ago
  • Quickly build UI components with AI
    AI is now changing how you can approach building UI elements. Instead of spending hours on repetitive tasks, you can use AI tools to develop and refine your UI components quickly. Introducing Cody, an AI tool that helps you create complex UI fast. - Source: dev.to / about 2 months ago
  • I've been using Claude Code for a couple of days
    This is particularly interesting, as Steve Yegge works on (and I think leads) Sourcegraph Cody[0], which is a competitor to Claude Code. Cody does use Claude Sonnet, so they do have some aligned interests, but it's still surprising to see Yegge speak so glowingly about another product that does what his product is supposed to do. [0] https://sourcegraph.com/cody. - Source: Hacker News / about 2 months ago
View more

What are some alternatives?

When comparing GitHub Copilot and Cody AI, you can also consider the following products

Codeium - Free AI-powered code completion for *everyone*, *everywhere*

Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

Visual Studio IntelliCode - Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.

TabbyML - Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot

Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.

Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.