Make Every Workflow Intelligent with CoreStory Playbooks

Connect Jira and CoreStory to your coding agent through MCP. The agent pulls ticket details from Jira, uses code intelligence to understand the codebase, does the work, and pushes results back to the ticket.

Modernize legacy systems without guessing at what the old code did. A phased methodology — assessment, target architecture, decomposition and sequencing, execution, behavioral verification — grounded in a persistent map of how your system actually behaves.

Extract and catalog business rules scattered across your codebase. CoreStory surfaces the implicit logic, validation rules, and domain constraints buried in code so your team can document, audit, and reason about them without reading every file.

Identify what exists, what's missing, and what needs to change before implementing a feature. CoreStory maps your codebase's current state so your agent can pinpoint gaps, dependencies, and risks before a single line of code is written.

Generate tests from behavioral specifications instead of implementation details. CoreStory acts as the specification expert, so your agent writes tests that verify what the system is supposed to do — not tests that mirror the code back at itself.

Implement features end-to-end with architecture-aware AI guidance. CoreStory gives your agent deep understanding of your codebase structure, patterns, and dependencies so it can generate implementation plans and code that fit naturally into your existing architecture.

Diagnose and fix bugs with AI agents grounded in your actual architecture. CoreStory provides the codebase context your agent needs to trace root causes, understand dependencies, and generate fixes that respect your existing patterns.

Accelerate codebase risk assessment for acquisitions. CoreStory maps architecture, surfaces technical debt, and identifies integration risks across unfamiliar codebases — turning weeks of manual review into hours of structured analysis.

Write specs grounded in real architecture, then implement from them. CoreStory generates implementation specs that reflect your actual codebase — dependencies, patterns, constraints — so AI agents build from accurate context instead of guesswork.

Includes the Spec Kit Companion workflow for teams using Spec-Kit to manage and version specs alongside their code.