Legacy code unlocked by corestory ai platform

Enterprises across various industries are contending with a significant and growing challenge: aging legacy codebases that are critical to their operations but hinder future innovation. These systems, often written in languages like COBOL, C, and Java, can be brittle, poorly documented, and a major roadblock to modernization efforts. Organizations looking to digitally transform their infrastructure frequently find they lack the historical knowledge or context of how these essential applications were originally built. This often forces them into a lengthy and expensive process of reverse-engineering systems just to understand their own technology, a task that can take many months.

Addressing this widespread issue, CoreStory has introduced an AI-powered code intelligence platform designed to uncover the fundamental insights locked within legacy code. The platform aims to turn these aging codebases from liabilities into strategic assets, enabling enterprises to accelerate software modernization with greater speed, efficiency, and confidence. By scanning millions of lines of code in minutes, CoreStory provides a clear view of an application's architecture, dependencies, and potential modernization paths, functioning much like a real-time MRI for a company's software portfolio.

Unlocking the AI Platform

CoreStory's platform is engineered to overcome the common limitations of large language models (LLMs) when dealing with massive, complex codebases. It employs a proprietary methodology of recursive decomposition and recomposition, which involves breaking down code into smaller, more manageable units. The platform then rebuilds this information into a complete and validated picture of the entire system. This AI-based approach allows companies to analyze vast amounts of code rapidly; the platform can review 100,000 lines of code in just minutes.

The output of this process is a structured understanding of existing systems that captures not only how the code works but also the original business rules, system relationships, and developer intent embedded within it. According to Anand Kulkarni, founder and CEO of CoreStory, this method represents a significant departure from traditional modernization projects. Those projects were typically conducted by experts who reviewed code line-by-line, a process that could take 18 months or longer. Kulkarni states that the AI-driven approach provides radical savings and allows companies to rethink application requirements, adding more functionality and features during the modernization process.

Unlocking Comprehensive Insights

The core of the CoreStory platform is its Intelligence Model, which serves as a single source of truth about a company's software. This model is fully queryable and can be accessed via an API, making its insights available to a wide range of systems and workflows. The intelligence is structured into three distinct levels to provide a holistic view of the application.

First, it surfaces Business Insights by uncovering the original business requirements, rules, and workflows that are hidden within the code. This is crucial for organizations that lack historical documentation and context. Second, it delivers Architectural Insights, which provide a clear understanding of the system's design, infrastructure, technology dependencies, and overall legacy architecture. This is vital for planning modernization and reducing technical debt.

Finally, it offers deep Code Insights, detailing how the code functions, how repositories are organized, and the specific dependencies between different code modules. The platform even allows users to interact with this information conversationally, providing an option to "Chat with your code" for real-time answers.

Unlocking Enterprise Use Cases

The detailed intelligence generated by CoreStory supports several critical enterprise use cases, empowering teams across the software development lifecycle. For Legacy App Modernization and Migration, the platform's analysis provides the clarity needed to undertake complex projects with speed and confidence. Mike Lambert, CoreStory's COO, noted that the platform can uncover these essential insights within days rather than the months it traditionally takes, removing significant barriers to digital transformation.

For Application Maintenance and Extension, the deep code and architectural insights help teams navigate complex codebases for faster and more efficient maintenance of existing systems. The platform also speeds up Developer Onboarding by providing new team members with deep and interactive code insights, which can be explored through tools like a Business Process Explorer. This helps accelerate the time it takes for a new developer to become productive. Furthermore, CoreStory addresses the emerging challenge of technical debt from AI-generated code. It can automatically turn code generated by AI from a "black box" into a fully documented and understandable asset, preventing future maintenance problems. The platform's intelligence can be extended to analysts, architects, project managers, and business users through custom reports and interactive interfaces, such as an Architecture Explorer for visualizing a system's structure.

The platform's potential is amplified through integration with other advanced AI systems. According to Brian Smitches, Head of Partner Deployed Engineering at Cognition, integrating CoreStory with autonomous AI software engineers like Devin allows these tools to better understand complex legacy applications. Smitches explained that CoreStory provides precise, natural language system representations that enable customers to "guess less and build more" when modernizing their technology stack or improving maintenance efforts. This aligns with broader industry trends, as Gartner projects that 75% of engineers will use AI code assistants in their work. By providing detailed information at each step, CoreStory advances the entire software development lifecycle, benefiting developers, project planners, and testers alike.