SpecOps Method
SpecOps is a methodology for using AI to modernize legacy government systems by focusing on knowledge preservation and verified specifications rather than direct code translation.
Key Principle: The specification is more valuable than the code. It captures institutional knowledge, enables domain expert verification, and outlasts any particular technical implementation.
- AI analyzes legacy systems and generates specifications in plain language
- Domain experts verify these specifications before any modern code is written
- The specification becomes the source of truth that guides implementation
- All future changes flow through the specification first
Result: Preserved institutional knowledge, reduced risk, and a sustainable foundation for modernization.
📖 Documentation • 💬 Discussions • 🚀 Get Started
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Repositories
- spec-ops-skills Public
A community-maintained directory of AI agent skills for the SpecOps methodology
- modernize-your-legacy-code-with-github-copilot Public template
An interactive lesson showing how to modernize a legacy software project written in Cobol using GitHub Copilot
- spec-ops-agents-file Public template
A set of instructions for helping your AI coding agent implement the SpecOps methodology.
- SportsAdmin-web Public
An hands-on example of applying the SpecOps Method to an existing legacy software system
- spec-ops-action Public
A GitHub action that supports spec-driven development and the SpecOps methodology
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