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About

Amazon Q Developer is a generative AI–powered coding assistant from AWS that helps developers accelerate the entire software development lifecycle. It integrates directly into popular IDEs like JetBrains, VS Code, Visual Studio, and Eclipse, providing real-time code suggestions, refactoring, documentation, and debugging assistance. Beyond coding, Amazon Q Developer supports agentic capabilities—autonomously performing tasks like feature implementation, testing, and modernization of applications. As an AWS-native expert, it helps optimize cloud resources, diagnose issues, and guide users through architectural best practices. The platform also enables seamless data and AI integration, allowing developers to build analytics and ML applications using natural language. With up to 80% faster development speed and 40% productivity gains, Amazon Q Developer delivers enterprise-grade intelligence directly inside the tools developers use every day.

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 engineers, DevOps teams, and enterprise developers seeking a secure, AI-driven coding assistant that integrates with AWS and leading IDEs to automate development tasks, boost productivity, and modernize applications efficiently

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

$19/month
Free Version
Free Trial

Pricing

$20/month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 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

  • Integrates well with my IDE (VS Code), can scan my repo, understands context, i can undo any changes it has made with one click, can build a full app from scratch with my prompts and directions.

Cons

  • NO CLI capability yet which I think this is where Claude Code excels better. I think the Amazon team should find a way to integrate the CLI feature into Amazon Q.

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

Amazon
Founded: 1994
United States
aws.amazon.com/q/developer/

Company Information

OpenAI
Founded: 2015
United States
openai.com

Alternatives

Alternatives

Perplexity Computer

Perplexity Computer

Perplexity AI
Kiro

Kiro

Amazon Web Services
Bolt.new

Bolt.new

StackBlitz
Codex CLI

Codex CLI

OpenAI
Amp

Amp

Amp Code
Claude Code

Claude Code

Anthropic

Categories

Categories

Integrations

Amazon Web Services (AWS)
GitHub
OpenSpec
Slack
Visual Studio Code
Bash
GPT-5.1-Codex
GPT-5.2
GPT-5.6 Luna
Gmail
Inspector
Meta Model API
OpenAI
React
RustRover
SonarQube Cloud
SourceAI
StackHawk
Type
Vercel

Integrations

Amazon Web Services (AWS)
GitHub
OpenSpec
Slack
Visual Studio Code
Bash
GPT-5.1-Codex
GPT-5.2
GPT-5.6 Luna
Gmail
Inspector
Meta Model API
OpenAI
React
RustRover
SonarQube Cloud
SourceAI
StackHawk
Type
Vercel
Claim Amazon Q Developer and update features and information
Claim Amazon Q Developer and update features and information
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Claim OpenAI Codex and update features and information