AI-powered codebase understanding assistant. Learn design patterns, analyze impact, trace code flows, and understand any codebase through information theory principles.
Trace code execution paths and data flow. Use when user asks "how does X work", "what happens when X", "trace the flow of X", "where does data come from", or needs to understand feature implementation.
Quickly understand a new codebase's architecture, tech stack, and patterns. Use when user asks "what is this project", "project overview", "how is this codebase structured", "what tech stack", or when onboarding to a new codebase.
Analyze dependencies for upgrade planning and migration. Use when user asks "upgrade to X", "migrate from X to Y", "what breaks if we upgrade", "iOS 17 migration", "React 18 upgrade", or planning framework/SDK upgrades.
Analyze git history for hotspots, coupling, and knowledge distribution. Use when user asks "who knows this code", "what files change most", "hotspots", "bus factor", "knowledge silos", or needs to understand code evolution.
Analyze what code will be affected by changes. Use when user asks "what will break if I change X", "impact of changing X", "dependencies of X", "is it safe to modify X", or before making significant code changes.
Find implementation examples and design patterns in the codebase. Use when user asks "how to implement X", "how does this project do X", "show me examples of X", "where is X implemented", or needs to follow existing code conventions.