Running reqlan as a service, AI Code Tools

Reqlan Agency Implementation, Productizing Spec-Driven Development

Learn how to package Reqlan's token-efficient .rq format and knowledge graph linking as a retainer service for dev shops and startups. This course covers building specification workflows, automating traceability audits, and integrating AI agents to reduce client token spend on code generation by 40-60%.

Open the decision record for reqlan

What does running reqlan for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Vendor software cost: Not published (open-source pricing model). Setup cost: internal engineer onboarding hours, since no vendor setup fee or plan price is listed in the source data.
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Is reqlan worth running as a client service?

Evidence supports a viable managed service for agencies with engineering staff: reqlan ships real tooling (language, CLI, static analysis, editor extension, MCP package) that links specs, code, and tests into one traversable index. What remains unknown is client pricing power and ROI, vendor plans, market rates, labor rates, and expected volume are absent from the source data.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • @reqlan/language, @reqlan/analytical, @reqlan/cli, @reqlan/mcp packages (SDK signal)
  • VS Code or Open VSX editor extension install
  • GitHub repository access for client codebases
  • CLI-based development workflow on the client's stack (TypeScript, Python, Markdown)

People and inputs

  • Engineer time to learn the .rq specification language and bracket-ref/wikilink conventions
  • Defined .rq idea taxonomy and attribute schema (@status, @tags, @todo) per client
  • Process for rq: comment pinning across TypeScript, Python, and Markdown files
  • Plan for integrating static analysis output into the client's review workflow

Included with the course

7 working documents for delivering this service.

  • Reqlan Retainer Service Pricing Worksheetworksheet
  • Specification Audit Checklist for Client Onboardingchecklist
  • .rq File Template Library for Common Tech Stackstemplate
  • Knowledge Graph Linking SOP for TypeScript and Python Projectssop
  • AI Agent Prompt Optimization Guide Using Reqlan Specsguide
  • Static Analysis CLI Automation Playbooksop
  • Client Traceability Audit Report Templatetemplate

Listed by name. These documents are not yet published as individual downloads.