+
+

Related Products

  • JetBrains Junie
    12 Ratings
    Visit Website
  • Retool
    593 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Assembled
    272 Ratings
    Visit Website
  • Atera
    2,141 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • Robin by Atera
    532 Ratings
    Visit Website
  • BAND
    3 Ratings
    Visit Website
  • Expedience Software
    34 Ratings
    Visit Website
  • Aikido Security
    239 Ratings
    Visit Website

About

GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.

About

Codex is an AI-powered coding agent from OpenAI designed to help developers build, manage, and ship software more efficiently across the entire development lifecycle. It acts as an intelligent pair programmer that can understand codebases, generate features, and deliver production-ready pull requests. Codex can safely execute commands in sandboxed environments while assisting with debugging, refactoring, and testing. A key advancement is its computer use capability, allowing it to operate your computer by seeing, clicking, and typing across applications. This enables Codex to interact with tools that don’t have APIs, making it useful for tasks like frontend testing and app navigation. The platform also includes an in-app browser and integrations with various developer tools for a more unified workflow. Codex supports automation by handling ongoing tasks such as monitoring, issue triage, and follow-ups.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software developers, engineering teams, startups, and enterprises seeking to accelerate coding, automate development tasks, and improve productivity with AI-assisted workflows

Audience

Codex is ideal for software developers, engineering teams, and tech organizations that want to automate coding tasks, leverage AI-driven workflows, and utilize computer-based automation to accelerate software development

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$10 per month
Free Version
Free Trial

Pricing

$20/month
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
ease 4.2 / 5
features 4.0 / 5
design 4.2 / 5
support 3.6 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • - It gives accurate suggestions and auto-completion almost all the time. - It works with almost all the new and old libraries and frameworks. - it gives not only obvious suggestions for auto-completion but also relevant and customized suggestions according to the project. - It is quite straightforward to use just install the extension on the code editor and it starts working like a charm.
  • I am afraid there is nothing positive to say unfortunately. It's not even close to being as good as ChatGPT.
  • - Easy to use, uses context of File currently in use and others in the project. - sometimes need some little things added, but generally can create fully working functions by just a name.
  • Guesses what code you want to generate from context. Good choices as it suggests code from what you have written. Good for tedious coding. Works seamlessly in VS Code.
  • GitHub Copilot works pretty well, and works better than I thought it would when I first decided to try it. It's snappy, works with a variety of IDEs, and is pretty accurate and efficient.

Cons

  • - One thing I noticed is if I am creating a project from scratch it does not give accurate auto-completion right from the start instead it takes time to analyze the project and then provides relevant suggestions. - Pricing can be a bit better.
  • - Doesn't reply 80% of the times - In the 20% of times it does reply it's mostly unusable code
  • - So far haven't found any. - Maybe creates a risk of relying on it to much for some people.
  • Expensive. Unable to trigger on demand. More settings/customizations would be nice.
  • Haven't used it long enough to find any red flags yet, but I will update my review if I come across any cons.

Pros & Cons from Real Users

Pros

  • OpenAI Codex feels less like a coding assistant and more like a junior developer that can execute tasks independently. For knowledge workers juggling technical and non technical work, this shift is powerful because it can take a task, work through it, and return with usable results. Its ability to operate across full codebases is a major strength, allowing it to write, debug, test, and manage multiple files in a way that fits real world development workflows. The multi agent and automation capabilities are particularly useful since you can run parallel tasks and orchestrate work efficiently, which significantly improves productivity on complex projects. It is also expanding beyond pure coding with features that allow interaction with software environments, making it feel like a broader work assistant.

Cons

  • Codex can still struggle with very large or highly complex projects without iteration, and outputs often need refinement through multiple passes. The setup and workflow can feel heavier compared to simpler tools, especially when integrating with repositories or managing environments. There is also strong competition, and in some advanced or highly structured coding scenarios other tools may feel more precise.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

GitHub
Founded: 2008
United States
github.com/features/copilot

Company Information

OpenAI
Founded: 2015
United States
openai.com

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Perplexity Computer

Perplexity Computer

Perplexity AI
Perplexity

Perplexity

Perplexity AI
Bolt.new

Bolt.new

StackBlitz
Codex CLI

Codex CLI

OpenAI
Claude Code

Claude Code

Anthropic

Categories

Categories

Integrations

Agensi
C
C#
C++
Cursor
GPT-5
GPT-5.1
GPT-5.1 Thinking
GPT-5.1-Codex-Max
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.4 nano
GPT-5.5 Pro
GPT-5.6 Sol Ultrafast
Java
Paper
React
Visual Studio Code
XHawk
omp

Integrations

Agensi
C
C#
C++
Cursor
GPT-5
GPT-5.1
GPT-5.1 Thinking
GPT-5.1-Codex-Max
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.4 nano
GPT-5.5 Pro
GPT-5.6 Sol Ultrafast
Java
Paper
React
Visual Studio Code
XHawk
omp
Claim GitHub Copilot and update features and information
Claim GitHub Copilot and update features and information
Claim OpenAI Codex and update features and information
Claim OpenAI Codex and update features and information