AI Code Generation

AI-generated code comes in a black-box. CoreStory helps you understand it before you ship it.

AI-generated code often lacks documentation, uses non-obvious logic and structure, and creates architecture that's opaque and brittle. This type of black-box code is a major risk to maintainability and scale. CoreStory analyzes AI-generated code and helps you understand how it works, how to maintain it, and how to make it better.
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Diagram showing integration points of CardDemo application with external systems IBM MQ, DB2, IMS DB, RMS DB, and VSAM via CCS for transaction processing including message queuing and data retrieval.

Understand what your AI-generated code is actually doing

CoreStory quickly analyzes AI-generated code and produces a comprehensive intelligence model containing all the necessary insights to understand what your code does. The intelligence model shows all details from a functional perspective, an architectural perspective, and a code perspective. It also shows how the code fits into your broader system.

You can query the intelligence model using natural language to gain whatever insights are missing in your understanding of your code.

CoreStory illuminates the black box of generated code, giving you the confidence to move forward.
Screenshot of a chat interface titled 'Chat With Your Code' showing a user query about modernizing an application and the detailed AI-generated response listing three modernization opportunities with steps and justifications.

Architectural mapping to reveal structure, flow, and integration points

CoreStory’s intelligence model contains all the insights you need to understand how the AI-generated code integrates with existing systems.

You can ask the intelligence model about certain features of the code, or you can use the intelligence to generate documentation and graphical representations of the code.
Diagram of system architecture showing flow from user interface screens to data input fields, validation mechanisms, backend systems, and database, with explanatory text and component responsibilities.

Readable summaries for onboarding, debugging and even compliance

CoreStory turns AI-generated code into readable documentation that can dramatically accelerate developer onboarding and simplify maintenance and debugging.

Anticipate security risks and maintain compliance without compromising the speed gains of AI-assisted code generation.
Document outlining security considerations with sections on Authorization, Authentication, Data Protection, and References, detailing processes and file names related to access control, user validation, data encryption, and logging.

Lower risk of technical debt with traceable code

The vibe-coded apps of today are the technical debt of tomorrow. Your developers can document, explain, and debug their code instantly by attaching CoreStory to their AI-generated app experiments.

AI-generated code doesn't have to be confined to MVPs and non-critical systems. Maintain and scale your team's output, AI-coded or not, with CoreStory's code intelligence attached.
Screenshot of a technical documentation page titled 'Technical User Stories' focusing on 'View Fraudulent Transactions' with sections on feature description, business rules, references, and technical requirements.

Don't just trust AI-generated code. Understand it.

Request a demo today to see how CoreStory makes every line of AI code transparent and usable.
Take control of your AI-generated code before it controls you.
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