SHIM is an autonomous code quality analysis tool designed for AI-native development. It identifies improvement opportunities, provides ROI-ranked suggestions, and coordinates multiple AI agents to enhance software quality.

How does SHIM improve code quality?

SHIM uses AST-based code complexity scoring and pattern detection to pinpoint issues. It then generates ROI-ranked improvement suggestions and leverages multi-AI agent coordination for parallel analysis tasks, ensuring efficient and intelligent code evolution.

Is SHIM suitable for AI-native development workflows?

Absolutely. SHIM is specifically built to address the unique challenges of rapidly evolving AI-assisted codebases, providing context-aware analysis, safe deployment with approval gates, and multi-AI coordination essential for modern AI-native development.

Does SHIM automate code changes?

SHIM currently provides ROI-ranked improvement suggestions and facilitates safe deployments through integrated approval gates. While it guides evolution, autonomous self-modification capabilities are planned for future development phases.

What core technologies does SHIM utilize?

SHIM is built with TypeScript and Node.js. It leverages battle-tested infrastructure tools like Redis for distributed state, BullMQ for job queues, and ESLint for code linting, focusing custom development on domain-specific AI intelligence.

SHIM

Name: SHIM
Author: duke-of-beans

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

SHIM

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

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.

主な機能

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

ユースケース

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

SHIM

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SHIM

主な機能

ユースケース

Neon

Figma Context

Magic

Diagram Maker & Visualizer

GH Issues Auto-Fixer

Discord Integration

主な機能

ユースケース