# CoreStory Docs ## Docs - [How Does CoreStory Work?](https://docs.corestory.ai/about/how-does-corestory-work.md): How CoreStory ingests repositories and produces queryable code intelligence. - [What is CoreStory?](https://docs.corestory.ai/about/what-is-corestory.md): An overview of the CoreStory code intelligence platform. - [Who is CoreStory For?](https://docs.corestory.ai/about/who-is-corestory-for.md): The teams and roles that benefit from CoreStory's code intelligence. - [Getting Started](https://docs.corestory.ai/getting-started/getting-started.md): Set up your CoreStory account and start generating code intelligence. - [MCP Server Setup](https://docs.corestory.ai/getting-started/mcp-server-setup.md): Connect CoreStory to AI coding tools via the Model Context Protocol. - [Supercharging AI Agents with CoreStory](https://docs.corestory.ai/getting-started/supercharging-ai-agents.md): How CoreStory's persistent code intelligence makes AI coding agents dramatically more effective across your development workflow. - [Agentic Bug Resolution](https://docs.corestory.ai/playbooks/agentic-bug-resolution.md): Use CoreStory's persistent code intelligence to diagnose and fix bugs faster with AI agents grounded in your actual architecture. - [Business Rules Extraction](https://docs.corestory.ai/playbooks/business-rules-extraction.md): Extract, catalog, and validate business rules embedded in your codebase using CoreStory's persistent architectural intelligence. - [Code Modernization](https://docs.corestory.ai/playbooks/code-modernization.md): A phased, architecture-grounded methodology for modernizing legacy systems using CoreStory's persistent code intelligence — from assessment through behavioral verification. - [Feature Gap Analysis](https://docs.corestory.ai/playbooks/feature-gap-analysis.md): Systematically identify what exists, what's missing, and what needs to change to implement a new feature in an existing codebase using CoreStory's persistent architectural intelligence. - [Feature Implementation](https://docs.corestory.ai/playbooks/feature-implementation.md): A structured workflow for implementing new features using CoreStory's architectural intelligence to guide every step from spec to merge. - [M&A Technical Due Diligence](https://docs.corestory.ai/playbooks/ma-technical-due-diligence.md): Leverage CoreStory's code intelligence to accelerate technical due diligence for mergers, acquisitions, and investment decisions. - [Behavioral Verification](https://docs.corestory.ai/playbooks/modernization/behavioral-verification.md): Verify that modernized components faithfully preserve the business rules and behavioral semantics of the legacy system using CoreStory's persistent code intelligence. - [Codebase Assessment](https://docs.corestory.ai/playbooks/modernization/codebase-assessment.md): Evaluate a legacy codebase's modernization readiness using CoreStory's persistent code intelligence — architecture mapping, dependency analysis, tech debt identification, and risk scoring. - [Decomposition & Sequencing](https://docs.corestory.ai/playbooks/modernization/decomposition-sequencing.md): Use CoreStory to identify migration boundaries, map component dependencies, produce an ordered migration plan, and create work packages in Jira or Linear. - [Monolith to Microservices](https://docs.corestory.ai/playbooks/modernization/monolith-to-microservices.md): Architecture-specific guidance for decomposing a monolithic application into microservices using CoreStory's persistent code intelligence and the Strangler Fig execution pattern. - [Target Architecture & Strategy Selection](https://docs.corestory.ai/playbooks/modernization/target-architecture.md): Use CoreStory's codebase intelligence to inform the critical architectural decision: what modernization pattern to follow and what the target architecture should look like. - [Spec-Driven Development](https://docs.corestory.ai/playbooks/spec-driven-development.md): A six-phase methodology for writing architecture-grounded specifications that produce correct implementations on the first pass. - [Spec-Driven Test Generation](https://docs.corestory.ai/playbooks/spec-driven-test-generation.md): Generate tests from behavioral specifications — not implementation details — using CoreStory's code intelligence as a specification expert for AI coding agents. - [Spec Kit Companion](https://docs.corestory.ai/playbooks/spec-kit-companion.md): Companion guide for integrating GitHub's Spec Kit framework with CoreStory's architecture-grounded spec-driven development workflow. - [Behavioral Test Coverage](https://docs.corestory.ai/playbooks/test-generation/behavioral-test-coverage.md): Systematically generate behavioral test coverage from CoreStory's specification intelligence — acceptance criteria, invariants, business rules, state transitions, and edge cases — using AI coding agents. - [E2E Test Generation](https://docs.corestory.ai/playbooks/test-generation/e2e-test-generation.md): Generate end-to-end tests that verify critical user journeys against CoreStory's acceptance criteria and user story intelligence — from journey extraction through flakiness management. - [Using CoreStory with Jira](https://docs.corestory.ai/playbooks/using-corestory-with-jira.md): Connect Jira to your AI coding agent alongside CoreStory's MCP server to resolve tickets, enrich specs, draft issues, and triage complexity. - [Chat With Your Code](https://docs.corestory.ai/product/chat-with-your-code.md): Ask natural language questions about your codebase and get grounded answers. - [API Specifications](https://docs.corestory.ai/product/core-documents/api-specifications.md): AI-generated API documentation derived from your codebase's endpoints and interfaces. - [Data Models](https://docs.corestory.ai/product/core-documents/data-models.md): AI-generated data model documentation derived from your codebase's schema and structures. - [Executive Summary](https://docs.corestory.ai/product/core-documents/executive-summary.md): Auto-generated executive overview of your codebase's architecture and purpose. - [Integration Points](https://docs.corestory.ai/product/core-documents/integration-points.md): AI-generated integration documentation showing how your codebase connects to external systems. - [User Personas](https://docs.corestory.ai/product/core-documents/user-personas.md): AI-generated user personas derived from your codebase's functionality. - [User Stories](https://docs.corestory.ai/product/core-documents/user-stories.md): AI-generated user stories derived from your codebase's features and workflows. ## OpenAPI Specs - [openapi](https://docs.corestory.ai/api-reference/openapi.json)