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About

Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.

About

Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.

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

Developers interested in an ML-powered coding assistant

Audience

Developers interested in a simple to use but powerful AI coding assistant, AI code generator, and AI code completion tool

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 2.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 2.0 / 5
support 4.0 / 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

  • One Two liner Code suggestions given useful for writing unit tests. Less manual typing is required at times.

Cons

  • Suggestions are very limited and specific. Does not write big code blocks.

Pros & Cons from Real Users

Pros

  • Gemini Code Assist has been a game-changer for my development workflow, offering a seamless and intuitive way to enhance productivity without sacrificing code quality. This tool integrates smoothly with my existing IDE, providing context-aware suggestions and real-time error checks that catch issues before they escalate. The AI-driven code completion is impressively accurate, adapting to my coding style and even suggesting improvements I hadn’t thought of. One of the biggest advantages of Gemini Code Assist is its smart code suggestions. The AI suggestions are spot-on, saving time on repetitive coding tasks and reducing the margin for error. Additionally, the tool works smoothly with major IDEs, making it easy to adopt without disrupting my workflow. Real-time syntax and logic checks help maintain code quality, significantly reducing the need for extensive manual debugging. Another benefit is its customization options, allowing me to tweak its functionality based on my preferences, so I can set it to be as involved or hands-off as I need.

Cons

  • On the downside, I’ve noticed a slight lag when handling very large files, though it’s not significant enough to be a deal-breaker. Also, it can be a bit resource-intensive, so it might not be ideal for lower-spec systems.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/codewhisperer/

Company Information

Google
Founded: 1998
United States
cloud.google.com/products/gemini/code-assist

Alternatives

Cody

Cody

Sourcegraph

Alternatives

Devin Desktop

Devin Desktop

Cognition
Gemini CLI

Gemini CLI

Google
K.Explorer

K.Explorer

Morphis Tech
Jules

Jules

Google
JetBrains Junie

JetBrains Junie

JetBrains
Cody

Cody

Sourcegraph

Categories

Categories

Integrations

C
C#
C++
Java
JavaScript
Kotlin
PHP
PyCharm
Python
Ruby
Rust
SQL
Scala
TypeScript
Visual Studio Code
Amazon Q
Gemini 3 Flash
Google Cloud Code
MATLAB
PhpStorm

Integrations

C
C#
C++
Java
JavaScript
Kotlin
PHP
PyCharm
Python
Ruby
Rust
SQL
Scala
TypeScript
Visual Studio Code
Amazon Q
Gemini 3 Flash
Google Cloud Code
MATLAB
PhpStorm
Claim Amazon CodeWhisperer and update features and information
Claim Amazon CodeWhisperer and update features and information
Claim Gemini Code Assist and update features and information
Claim Gemini Code Assist and update features and information