@aiready/cli
The unified CLI for Agentic Readiness. Optimize codebases for AI agents like Cursor, Windsurf, and Claude. Detect semantic duplicates, analyze context fragmentation, and improve agentic leverage.
Found 15 results for aiready
The unified CLI for Agentic Readiness. Optimize codebases for AI agents like Cursor, Windsurf, and Claude. Detect semantic duplicates, analyze context fragmentation, and improve agentic leverage.
Interactive graph visualization for AIReady analysis results
Semantic duplicate pattern detection for AI-generated code - finds similar implementations that waste AI context tokens
Detects consistency issues in naming, patterns, and architecture that confuse AI models
Shared utilities for AIReady analysis tools
Measures how safely and verifiably AI-generated changes can be made to your codebase
AI context window cost analysis - detect fragmented code, deep import chains, and expensive context budgets
The AIReady Model Context Protocol (MCP) Server for Agentic Readiness. Optimize codebases for AI agents like Cursor, Windsurf, and Claude directly via MCP.
Unified shared components library (UI, charts, hooks, utilities) for AIReady
Measures how well an AI agent can navigate a codebase autonomously without human assistance
Detects code patterns that cause AI models to hallucinate incorrect implementations
Measures structural type safety and boundary validation to reduce fallback cascades for AI agents
The AIReady AST-aware Model Context Protocol (MCP) Server. Explore and navigate multi-project TypeScript/JavaScript codebases with high precision using AST and type information.
Detects code patterns that cause AI models to hallucinate incorrect implementations
Codebase-level metabolic health and technical debt audit for AI-readiness