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Description

Agiloop is a platform designed for AI-driven product development that seamlessly integrates the entire software lifecycle, spanning from conceptualization and requirement gathering to execution, evaluation, and ongoing enhancement. The INVENT feature leverages AI-based interviews and repository assessments to convert fresh ideas or pre-existing applications into organized functional and technical specifications, comprehensive features, user narratives, and criteria for acceptance. The IMPLEMENT phase takes the validated specifications and directly constructs complete features within your Git repository, incorporating integrated code reviews, test scaffolding, validation of acceptance criteria, security assessments, and compatibility with current CI/CD workflows. During the INSPECT phase, it instruments the created features at build time, delivering real-time analytics on usage, user journeys, event tracking, metric goals, and AI-driven insights without needing a separate tracking configuration. Finally, the ITERATE component assesses business performance, application stability, system architecture, and technical liabilities, offering actionable recommendations for improvements that can be implemented straight away, ensuring a continuous cycle of enhancement and adaptation. This comprehensive approach not only streamlines the development process but also enhances collaboration and transparency throughout the software lifecycle.

Description

Amazon Q Developer is an advanced AI assistant built for professional developers, combining coding intelligence with deep AWS expertise. It’s designed to handle every stage of development—from writing and refactoring code to performing upgrades and automating documentation. Integrated with major IDEs and the AWS Management Console, it empowers developers to code faster and operate smarter using secure, context-aware assistance. Its agentic automation can autonomously implement features, test applications, and perform large-scale migrations like .NET to Linux or Java 8 to Java 17 in minutes. Developers can chat directly with Amazon Q inside Slack, Microsoft Teams, GitHub, and GitLab, where it provides architectural recommendations and incident resolution guidance. The tool also supports CLI autocompletions and AWS resource management to streamline workflows from the terminal to the cloud. Offering enterprise-grade access controls and IAM integration, it ensures that organizational data and permissions remain protected. Available on the AWS Free Tier, Amazon Q Developer enables up to 50 monthly AI interactions and 1,000 lines of code transformation at no cost, helping teams start building smarter right away.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Systems Manager
Amazon Q Business
Amazon Web Services (AWS)
Android Studio
Code With Me
DataGrip
GitLab
IntelliJ IDEA
JetBrains Aqua
JetBrains DataSpell
JetBrains Gateway
Microsoft Teams
OpenSpec
PyCharm
Rider
RubyMine
RustRover
Trello
Visual Studio Code
Writerside

Integrations

AWS Systems Manager
Amazon Q Business
Amazon Web Services (AWS)
Android Studio
Code With Me
DataGrip
GitLab
IntelliJ IDEA
JetBrains Aqua
JetBrains DataSpell
JetBrains Gateway
Microsoft Teams
OpenSpec
PyCharm
Rider
RubyMine
RustRover
Trello
Visual Studio Code
Writerside

Pricing Details

$0.25 per story point
Free Trial
Free Version

Pricing Details

$19/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Agiloop

Founded

2025

Country

United States

Website

www.agiloop.ai/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/q/developer/

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