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What is CoreStory?

CoreStory is an innovative code-intelligence platform that utilizes artificial intelligence to explore complex enterprise codebases, uncovering the nuanced business logic, architectural structures, and technical relationships embedded within legacy systems. Through a recursive process of breaking down and reconstructing systems, it transforms complicated applications into an all-encompassing intelligence model that captures business needs, operational rules, workflows, design frameworks, and code-level insights. This dynamic platform equips teams with immediate access to query their code, discover entry points, trace connections, and visualize architecture diagrams, significantly accelerating tasks like updating outdated applications, ensuring software maintenance, regulating AI-generated code, and onboarding new developers. Moreover, CoreStory supports integration via API/MCP with pivotal engineering systems, enabling the development of visual dashboards, including business-process explorers, architecture explorers, and code entry-point explorers, which further improve both user experience and operational productivity. By doing so, CoreStory not only enhances the way organizations interact with their legacy systems but also assists them in making strategic, informed choices about their technological resources, ultimately driving better outcomes. This holistic approach ensures that organizations can adapt to evolving technological landscapes while maximizing the value of their existing systems.

What is AWS Transform?

AWS Transform is a cutting-edge AI service provided by Amazon Web Services that streamlines the modernization of legacy workloads, especially those tied to .NET, mainframe systems, and VMware environments. By harnessing AWS's wealth of expertise in migration and modernization, this service employs dedicated AI agents to undertake various tasks such as assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, all of which can be executed concurrently to boost the efficiency of large-scale transformations. Different teams can collaborate seamlessly and manage modernization initiatives from inception to completion through a shared workspace and a natural-language chat interface. AWS claims that AWS Transform can speed up the migration of .NET applications by as much as four times, significantly accelerate VMware configuration changes, and reduce mainframe migration durations from several years to just a few months. In addition, this service seeks to decrease expenses related to legacy licensing, infrastructure, and continuous maintenance, making it an essential tool for organizations aiming to optimize their operations. By offering a holistic approach to modernization, AWS Transform not only simplifies the transformation process but also fosters enhanced teamwork among diverse groups, ultimately driving greater efficiency and innovation within organizations.

Media

Media

Integrations Supported

.NET
Amazon Web Services (AWS)
IBM z/OS
VMware Cloud

Integrations Supported

.NET
Amazon Web Services (AWS)
IBM z/OS
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

CoreStory

Company Location

United States

Company Website

corestory.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/transform/

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