What is Reqvire?

Reqvire is a lightweight, Git-native Requirements-as-Context framework that redefines how modern engineering teams design, build, and maintain software.

It unifies system modeling, requirements management, context engineering and AI-assisted development into a single workflow—providing complete traceability, intelligent automation, and faster delivery while staying fully aligned with your codebase.

View it on GitHub

Key Features

Requirements-as-Context

Create a structured, canonical source of truth for your project.
Reqvire provides a consistent context layer that AI tools can reliably query—so they always understand what needs to be built, where changes belong, and how system components fit together.

Requirements-as-Code

Evolve requirements from static documents into version-controlled, executable artifacts.
Reqvire keeps your system model alive in Git—no more lost specs, outdated docs, or knowledge locked in transient tickets.

Intelligent Engineering

Bring Model-Based Systems Engineering (MBSE) directly into your Git workflow:

  • Specification-Driven Development
    Develop from requirements. Enforce clear specifications and generate code that stays tied to its originating requirements.

  • Automated Traceability
    Maintain instant, bidirectional links between requirements, code, tests, and artifacts.

  • Verification & Validation
    Track verifications, ensure coverage, and validate that implementations meet intended behavior.

  • Smart Change Propagation
    Identify impacted parts of the system and help propagate requirement changes consistently across the model and codebase.

  • Seamless Integration
    Works naturally with branches, pull requests, reviews, and CI/CD. No workflow disruption—just added intelligence.

Reqvire Modeling Language

Reqvire uses a lightweight, human- and AI-friendly modeling language built on semi-structured Markdown.

Why Semi-Structured Markdown?

Choosing Markdown as the foundation gives Reqvire several superpowers:

  • Zero friction for AI – LLMs (Claude, ChatGPT, Cursor, local models, etc.) can read, write, and reason about requirements and models without custom parsers
  • Git-native from day one – models live as regular .md files, fully diffable and reviewable in pull requests
  • Instant validation & automation – simple rules make it trivial to lint, auto-format, and generate artifacts
  • No learning curve – engineers already know Markdown; no new DSL or proprietary syntax to learn

The result: requirements and system models that are simultaneously precise enough for traceability and loose enough for everyday editing and AI assistance.

Human in Control — Always

While Reqvire empowers AI tools to act as smart collaborators, the human engineer remains the system’s captain — setting direction, making decisions, and approving outcomes.

Reqvire ensures that:

  • Every AI-suggested change is traceable and reviewable
  • System evolution remains understandable and documented
  • AI tooling acts in service of the engineer’s intent, not in place of it

Diagram & Traceability Automation

Reqvire automatically parses structured Markdown to generate:

  • Architecture diagrams (component hierarchies, interfaces, dependencies)
  • Traceability reports linking requirements to architecture, verifications, and tests
  • Impact reports showing what was changed, and what it affects
  • Requirement flow diagrams visualizing hierarchical relationships and derivations
  • Verification coverage maps showing which leaf requirements are verified and how
  • Change propagation analysis identifying all downstream effects of modifications
  • Model summary reports providing overview statistics and health metrics
  • Interactive HTML documentation with clickable diagrams and searchable content

CI/CD Integration

Reqvire is designed for automation. In typical Git-based workflows, you can:

  • Validate Markdown structure using static checks
  • Generate traceability and change impact reports for stakeholder review
  • Block PRs if requirements are incomplete or broken
  • Package models into versioned documentation releases
  • Integrate with GitHub Actions/GitLab CI for automated validation