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SHIM

duke-of-beansbyduke-of-beans
•
Herramientas para Desarrolladores
Ciencia de Datos y ML
Despliegue y DevOps

Automate code quality analysis, identify improvement opportunities, and coordinate multi-AI agents for software development.

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SHIM is an autonomous infrastructure designed to tackle the challenge of maintaining code quality in rapidly evolving AI-native products. It analyzes existing code through AST-based complexity scoring and pattern detection, generating ROI-ranked improvement suggestions. Built on 'LEAN-OUT' principles, SHIM leverages battle-tested infrastructure like Redis and BullMQ for plumbing, focusing custom code on domain-specific intelligence, enabling safe deployment via approval gates and coordinating multiple AI agents for parallel analysis.

Características Principales

01AST-based code complexity scoring and pattern detection
02ROI-ranked code improvement suggestions
03Multi-AI agent coordination for parallel analysis tasks
04Safe deployment with integrated approval gates
05Distributed infrastructure leveraging Redis and BullMQ for job queues
060 GitHub stars

Casos de Uso

01Automating code quality analysis for AI-native software projects
02Prioritizing code improvements based on estimated return on investment
03Orchestrating multiple AI agents for parallel code inspection and refactoring