Why CoreStory?
Most teams working on large or legacy codebases face the same problem: the documentation is stale, tribal knowledge lives in people’s heads, and AI coding tools hallucinate because they lack grounded context. CoreStory solves this by creating a persistent intelligence layer — a dynamically queryable model of your codebase that stays current with your source code. This gives both human and AI workers a shared, accurate understanding of system behavior.What Can You Do With It?
- Understand unfamiliar codebases — Ask natural language questions about architecture, business logic, data flow, and dependencies.
- Generate grounded specifications — Produce executive summaries, user stories, data models, API specs, and integration maps derived from actual source code.
- Supercharge AI agents — Connect CoreStory to Claude, Cursor, GitHub Copilot, Devin, and other AI tools via MCP so they make decisions grounded in real system context.
- Accelerate onboarding — Get new developers productive faster by giving them instant access to system-level understanding.
- De-risk modernization — Map business rules, hidden dependencies, and integration points before making changes.