Spec-Driven Development with CoreStory + Spec-Kit

Unlock AI-Powered Spec-Driven Development with CoreStory

Ship features that fit your architecture the first time. This playbook shows how to pair CoreStory’s code intelligence with GitHub Copilot to produce specifications, plans, and tasks grounded in your existing codebase—so implementation follows proven patterns instead of inventing new ones.

What you’ll get

• A concise, role-based guide with quick start, prompt library, validation gates, and an end-to-end workflow from Constitution → Specification → Planning → Tasks → Implementation.
• Clear, measurable outcomes to target: 25–30% faster time to production and 60–75% less architectural rework when teams ground plans in CoreStory context.
• Pragmatic quality controls (design invariants, interface contracts, dependency checks) that keep changes aligned with the system you already run.

Why this matters

CoreStory reveals real patterns, invariants, and integration points from your codebase. Copilot then applies those patterns directly in code. Together they cross-reference “what should happen” (spec) with “what actually exists” (implementation), reducing rework, drift, and integration bugs.

How it works (in practice)

1. Analyze before you generate
   Always query CoreStory for structure, dependencies, interfaces, and business rules. Never plan or code blind.
2. Generate in small, reviewable rounds
   Architecture notes → interface contracts → task list → implementation diffs.
3. Reference exact sources
   Include file:line citations, call-graph notes, and schema references in every prompt.
4. Hold work to standards
   Enforce invariants, error handling, performance budgets, and security constraints on each iteration.
5. Validate continuously
   Compare Copilot output to CoreStory specs; flag and resolve discrepancies early.

Fast start (5 minutes)

• Add repository-wide Copilot instructions and drop in the provided prompt files.
• Configure the CoreStory MCP once; test the “Spec → Plan → Task” flow on a small feature.
• Typical loop: generate → review against CoreStory → adjust → implement → validate—without leaving the IDE.

Who it’s for

• Tech leads and architects formalizing specs and patterns.
• Platform teams standardizing interfaces and cross-service changes.
• ICs who want spec-driven velocity without “rewrite tax.”

What’s inside the playbook

• Main Guide: end-to-end instructions, prompts, validation, and troubleshooting.
• Prompt Templates: Copilot-ready prompts by role and phase.
• Integration Checklists: contracts, migrations, and dependency considerations.
• Quality Gates: spec conformance, interface stability, performance & security checks.
• Metrics: cycle time, rework rate, defect escape, and spec-to-implementation drift.

Results to expect

Teams report faster planning, cleaner integrations, and fewer late surprises—thanks to CoreStory-to-code cross-checks baked into every step. Start with a small feature, measure cycle time and rework, then expand to critical paths.