juicer – выжимает SSOT из существующего кода Image: AI generated

“We already have 200 endpoints”

juicer scan --openapi ./my-project
FrameworkLanguageExtraction
GinGoRoutes, bindings, responses, middleware
NestJSTypeScriptDecorators, DTOs, guards, interceptors
FastAPIPythonRoutes, Pydantic models, dependencies
juicer ddl ./migrations -o ./schema

juicer sql next --repo ./repository --queries ./db/query

juicer sql status

Existing code
  ↓ juicer scan --openapi
  ↓ juicer ddl
  ↓ juicer sql next
OpenAPI + DDL + sqlc
  ↓ yongol validate
  ↓ yongol generate
SSOT-based codebase

npx skills add park-jun-woo/juicer

Code: github.com/park-jun-woo/juicer

Источники

  • Huang, R. et al. (2024). Generating REST API Specifications through Static Analysis. ICSE 2024. ACM
  • Perry, D. E. & Wolf, A. L. (1992). Foundations for the Study of Software Architecture. ACM
  • Fowler, M. (2004). StranglerFigApplication. Link
  • Lercher, A. et al. (2024). Generating Accurate OpenAPI Descriptions. arXiv
  • Chauhan, S. et al. (2026). OpenAI for OpenAPI. arXiv
  • De Silva, L. & Balasubramaniam, D. (2012). Controlling software architecture erosion. ScienceDirect
  • Fritzsch, J. et al. (2019). Microservices Migration in Industry. arXiv
  • Curino, C. A. et al. (2008). Graceful database schema evolution. VLDB
  • Nghiem, D. et al. (2023). REST API Design Practices. IEEE

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