Software Alternatives, Accelerators & Startups

AWS Application Composer VS Amazon CodeWhisperer

Compare AWS Application Composer VS Amazon CodeWhisperer and see what are their differences

AWS Application Composer logo AWS Application Composer

A new low code tool from AWS

Amazon CodeWhisperer logo Amazon CodeWhisperer

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).
  • AWS Application Composer Landing page
    Landing page //
    2023-04-16
  • Amazon CodeWhisperer Landing page
    Landing page //
    2023-04-01

AWS Application Composer features and specs

No features have been listed yet.

Amazon CodeWhisperer features and specs

  • Enhanced Productivity
    Amazon CodeWhisperer helps developers write code faster by providing suggestions and code completions, reducing the time spent on routine coding tasks.
  • AI-Powered Assistance
    Utilizes machine learning algorithms to understand context and offer relevant code suggestions, improving the quality of code and helping developers with problem-solving.
  • Integration with AWS Services
    Seamlessly integrates with AWS services, making it easier for developers to build applications on the AWS platform by providing context-aware code recommendations.
  • Support for Multiple Programming Languages
    Supports a variety of programming languages, allowing a wider range of developers to benefit from its features.
  • Consistent Learning
    Continuously learns from new code and user interactions, enhancing its accuracy and usefulness over time.

Possible disadvantages of Amazon CodeWhisperer

  • Dependency on Internet Connection
    Requires a stable internet connection to access the cloud-based AI models for providing code suggestions, which can be a limitation in disconnected environments.
  • Potential Learning Curve
    Developers may need some time to get accustomed to utilizing AI-assisted coding, which may temporarily affect productivity.
  • Privacy Concerns
    Relying on cloud-based AI solutions may raise privacy and security concerns, especially when dealing with sensitive codebases.
  • Not 100% Accurate
    AI-generated code suggestions may not always be accurate or optimal, requiring developers to critically review and edit code.
  • Limited Offline Functionality
    Since it's primarily cloud-based, its features and capabilities might be limited or unavailable offline.

AWS Application Composer videos

AWS Application Composer - Demo and review

More videos:

  • Review - What is AWS Application Composer?
  • Review - AWS Application Composer Overview and Walkthrough
  • Review - AWS re:Invent 2023 - Visualize and design your architecture with AWS Application Composer (SVS213)

Amazon CodeWhisperer videos

Amazon CodeWhisperer In Use and Vs GitHub CoPilot

More videos:

  • Review - AWS Announces Amazon CodeWhisperer | Your New Coding Companion
  • Review - AWS On Air ft. Introducing Amazon CodeWhisperer | AWS Events

Category Popularity

0-100% (relative to AWS Application Composer and Amazon CodeWhisperer)
Developer Tools
18 18%
82% 82
APIs
100 100%
0% 0
Code Autocomplete
0 0%
100% 100
No Code
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Application Composer and Amazon CodeWhisperer

AWS Application Composer Reviews

We have no reviews of AWS Application Composer yet.
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Amazon CodeWhisperer Reviews

10 Best Github Copilot Alternatives in 2024
Amazon CodeWhisperer is an AI code completion tool that helps developers write code faster and with fewer errors. If you’re looking for a GitHub Copilot alternative, Amazon CodeWhisperer is a strong choice, especially for developers already using AWS.
The Best GitHub Copilot Alternatives for Developers
CodeWhisperer is an AI code generator tool launched by Amazon Web Services (AWS) in 2022. It was based on large language models (LLMs) and trained on a billion lines of code from open-source repositories, internal Amazon repositories, API docs, and forums. Using ML and AI algorithms, CodeWhisperer analyzes code in real-time and generates suggestions from snippets to full...
Source: softteco.com
6 GitHub Copilot Alternatives You Should Know
Amazon CodeWhisperer, developed by AWS, is an AI-driven coding assistant designed to help developers write code more efficiently. It too is based on LLMs and was trained based on Amazon’s proprietary code and open source libraries. CodeWhisperer provides code recommendations based on the context of the code and the comments written by the developer. It supports multiple...
Source: swimm.io
Top 31 ChatGPT alternatives that will blow your mind in 2023 (Free & Paid)
Amazon has developed an exclusive alternative of ChatGPT called Codewhisperer to give developers an efficient way to pinpoint, comprehend and debug code problems.
Source: writesonic.com
Top 10 GitHub Copilot Alternatives
Amazon CodeWhisperer, driven by machine learning (ML), assists developers in increasing productivity by producing code recommendations based on their natural language comments and code in the integrated development environment (IDE).
Source: hashdork.com

Social recommendations and mentions

Based on our record, Amazon CodeWhisperer should be more popular than AWS Application Composer. It has been mentiond 28 times since March 2021. 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.

AWS Application Composer mentions (8)

  • 9 Ways to Spin Up an EKS Cluster - Way 4 - CloudFormation
    CloudFormation is a great IaC tool if you're fine with AWS vendor-lock. It's definitely possible to create an EKS cluster with CloudFormation and that's what such tools as kops and eksctl do under the hood. While writing CloudFormation from scratch is no fun - we can use the templates generated by eksctl - as I did. Or we can build the templates ourselves in the AWS Application Composer. But then we need to take... - Source: dev.to / 9 months ago
  • Generative (A)IaC in the IDE with Application Composer
    AWS Application Composer launched in the AWS Console at re:Invent one year ago, and this re:Invent it expanded to the VS Code IDE as part of the AWS Toolkit - but that’s not the only exciting part. When using App Composer in the IDE, users also get access to a generative AI partner that will help them write infrastructure as code (IaC) for all 1100+ AWS CloudFormation resources that Application Composer now supports. - Source: dev.to / over 1 year ago
  • The Serverless Mindset and Infrastructure as Code
    This is where I think tools such as AWS Application Composer and AWS Step Functions Workflow Studio are headed in a positive direction via their drag and drop visual interfaces. - Source: dev.to / over 1 year ago
  • The Top Serverless Announcements from AWS re:Invent 2023
    Integration with AWS App Composer: Step Functions now integrates with AWS App Composer, allowing for easy inclusion and editing of state machines within stacks. - Source: dev.to / over 1 year ago
  • Recap of Werner Vogels' Keynote at re:Invent 2023
    He stressed the importance of every second in critical scenarios. Additionally, he discussed the comprehensive ecosystem supporting ML work, highlighting Amazon CDK ML constructs and AWS Application Composer, concluding by emphasizing that there has never been a better time to be a builder. - Source: dev.to / over 1 year ago
View more

Amazon CodeWhisperer mentions (28)

  • What Would a Live Stream Look Like on a Commodore 64?
    This morning my buddy Raymond Camden shared a fun little experiment. He has been playing around with a bit of "vibe coding", and decided to ask Claude to create a simple HTML file to take an image from the DOM and generate a "pixel art" version of that image. I was immediately curious if I could get Amazon Q Developer to create a similar demo to pixelate a webcam in real-time. This led me down quite a fun path... - Source: dev.to / 9 days ago
  • Turbo Charge the Amazon Q Developer CLI with MCP Servers
    If you have not yet discovered Amazon Q Developer, I encourage you to install it and try it out. Like all good generative-AI powered coding assistants, it can integrate with your favorite IDE and provide invaluable assistance to you while you develop your projects. It also includes the Amazon Q Developer CLI, which is a command line based assistant that you can launch with q chat from your favorite terminal. As of... - Source: dev.to / 11 days ago
  • Amazon Q Developer CLI: New AI Coding Agent Enhances Experience
    To explore these capabilities, visit Amazon Q Developer and check the AWS regions where this feature is available. - Source: dev.to / 16 days ago
  • How I built a spelling game with AWS Serverless and GenAI
    For the frontend, I have used a simple single page application built with Vue.js. I have very limited knowledge on frontend technologies. Because of that, I used Amazon Q Developer on VSCode to implement the frontend application. - Source: dev.to / about 1 month ago
  • Hands-On Amazon Q Developer Latest Features - /dev, /review, /doc, /test, /transform
    AWS re:Invent 2024 brought with it a lot of surprises, one of them being big updates to its Generative AI (GenAI) assistant for software development, Amazon Q Developer. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing AWS Application Composer and Amazon CodeWhisperer, you can also consider the following products

TreeLine - TreeLine just stores almost any kind of information.

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

Stein - Use Google Sheets as your no-setup database

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

zeroqode - Build your app up to 10x faster with no-code app templates

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