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What is Deep Code?

Deep Code is an extension for Visual Studio Code that incorporates an advanced AI coding assistant directly into your sidebar, thereby improving the overall development experience. This innovative tool goes beyond simple chat functionalities to adeptly navigate real-world software development workflows. Key features include project-level sessions that retain context for extended periods and the ability to read and write files, as well as execute commands, all of which aid in understanding code, creating documentation, and managing ongoing tasks. Furthermore, the Skills system allows users to formalize their team processes into reusable functions for greater efficiency. Moreover, it supports models that are compatible with OpenAI, providing flexible integration options. Designed specifically for developers in search of an AI collaborator who not only answers questions but also works alongside them throughout the entire software development process, this extension ensures that users never have to leave VS Code. Its thoughtful design enables teams to optimize their coding practices while significantly boosting productivity and collaboration. As a result, Deep Code stands out as a valuable asset for modern development teams aiming to enhance their workflow.

What is Amazon Q Developer?

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.

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Integrations Supported

Visual Studio Code
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Android Studio
AppCode
CLion
Code With Me
Eclipse IDE
GoLand
IntelliJ IDEA
JetBrains DataSpell
JetBrains MPS
Microsoft Teams
OpenSpec
PyCharm
Rider
RustRover
Slack
Visual Studio
Writerside

Integrations Supported

Visual Studio Code
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Android Studio
AppCode
CLion
Code With Me
Eclipse IDE
GoLand
IntelliJ IDEA
JetBrains DataSpell
JetBrains MPS
Microsoft Teams
OpenSpec
PyCharm
Rider
RustRover
Slack
Visual Studio
Writerside

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Version
Free Trial Offered?

Pricing Information

$19/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Chongqing Parsec Technology Co., Ltd.

Date Founded

2013

Company Location

China

Company Website

deepcode.vegamo.cn/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/q/developer/

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