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A Persistent Spec Layer for Software Development

CoreStory builds a persistent understanding of how your code works and makes those specifications available to humans and AI, everywhere product and engineering work happens.

Unlock scalable context engineering for large codebases with CoreStory today.

12,847 files·94.2 MB·Java

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Built for Complex, Long-Lived Codebases

Most context engineering solutions treat context as disposable–rebuilt per session, per tool, or per person. CoreStory is designed for systems where understanding must persist across people, tools, and time.

Persistent Code Intelligence that Compounds

CoreStory sits between your software systems and the people or agents working on them. It continuously ingests code, builds a persistent intelligence model, and serves accurate system context on demand.

Shared System Understanding

A unified model of how the system actually behaves — architecture, workflows, and business rules.

Intelligence Grounded in Code

Living context derived directly from source code, not manually curated or guessed.

Persistence Across People and Tools

Knowledge that survives turnover, compounds over time, and is accessible everywhere work happens.

One Shared Intelligence Model. Many Consumers.

Everyone works from the same system understanding, reducing misalignment, rework, and risk across roles.

System Thinkers (Architects, Staff Engineers, SREs, etc.)

Use CoreStory for

  • Architecture design
  • Migrations
  • Incident analysis

Outcomes

  • Confident system-level decisions
  • Reduced systemic risk
  • Shared reality across teams

Planners (PMs, BAs, EMs, etc.)

Use CoreStory for

  • Roadmapping
  • Requirements definition
  • Sprint planning

Outcomes

  • More realistic project plans
  • Clearer handoffs to devs
  • More predictable delivery

Builders (Engineers, Developers, AI Agents, etc.)

Use CoreStory for

  • Development
  • Debugging
  • Refactoring

Outcomes

  • Accurate implementations
  • Faster delivery
  • Fewer regressions

New Hires

Use CoreStory for

  • Onboarding to complex repos
  • Understanding system behavior
  • Navigating code with confidence

Outcomes

  • Rapid system comprehension
  • Less reliance on tribal knowledge
  • Fewer regressions during changes

Give AI Agents Real System Understanding

AI agents fail without proper context. CoreStory gives them durable, queryable understanding so they can reason about impact, constraints, and intent.

MCP / API Integrations

Enable agents like Claude Code, Codex, Devin, Droid, GitHub Copilot, and Cursor Composer to query your CoreStory intelligence while planning and coding

AI-Assisted Spec Generation

Accelerate common product and engineering workflows with guided spec creation

Ready-To-Use Playbooks

Plug CoreStory directly into the coding agent of your choice and see up to 44% better results from your coding agents of choice

Supporting Complex Enterprise Use Cases

Legacy App Modernization and Migration

Fully understand your legacy code to modernize it with speed and confidence

Application Maintenance and Extension

Support maintenance of existing systems with deep code and architecture insights

Technical Debt from AI Code Generation

Automatically turn AI-generated code from black-box to fully documented

Developer Onboarding to Legacy Codebases

Speed up developer onboarding with deep and interactive code insights

Give your team (and your AI) the full picture.

See how CoreStory can generate deep insights from your legacy code in a matter of hours.