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What is Charlie?

Charlie Labs introduces Charlie, an AI-powered engineering assistant that accelerates the software development process for teams by automating a range of tasks, including coding, reviewing pull requests, fixing bugs, and implementing new features, all while integrating smoothly into existing workflows. This cutting-edge tool seamlessly connects with well-known developer platforms such as GitHub, Slack, Linear, Sentry, and Vercel, operating within daily routines to monitor activities like pull requests and team mentions, while automatically generating high-quality TypeScript code, managing branches, and creating pull requests with organized commits and passing tests. By effectively pinpointing bugs, providing actionable inline feedback, and generating feature code based on issue descriptions, Charlie allows engineers to focus on strategic planning and design instead of tedious implementation tasks. In addition, the assistant can interpret natural language requests made in team communication channels, further streamlining the development process. As a result, Charlie not only boosts productivity but also enables teams to innovate and produce superior software more rapidly. Ultimately, this transformative tool redefines how engineering teams collaborate and evolve in their software development journey.

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.

Media

Media

Integrations Supported

GitHub
Slack
AWS IAM Identity Center
AWS Systems Manager
Amazon Q
Amazon Q Business
AppCode
Claude Opus 4.5
Claude Sonnet 4.5
CloudZero
Code With Me
GPT-5.2
GitLab
JetBrains Aqua
JetBrains DataSpell
Linear
PhpStorm
RubyMine
Visual Studio
WebStorm

Integrations Supported

GitHub
Slack
AWS IAM Identity Center
AWS Systems Manager
Amazon Q
Amazon Q Business
AppCode
Claude Opus 4.5
Claude Sonnet 4.5
CloudZero
Code With Me
GPT-5.2
GitLab
JetBrains Aqua
JetBrains DataSpell
Linear
PhpStorm
RubyMine
Visual Studio
WebStorm

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

$19/month
Free Trial Offered?
Free Version

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

Charlie Labs

Company Location

United States

Company Website

www.charlielabs.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/q/developer/

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