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LLM-QUICKSTART.md

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AI Code Graph — LLM Quickstart

Goal: Answer "what should I look at?" in 1 call, not 10.

1) Build the graph

ai-code-graph analyze YourSolution.sln
# Output: ./ai-code-graph/graph.db

For faster analysis (skips clustering):

ai-code-graph analyze YourSolution.sln --stages core

2) Check if graph is current

ai-code-graph status
# Shows: analyzed time, git commit, staleness warning

3) Before editing a method: context

# Find method by name
ai-code-graph context "ValidateUser"

# Use ID for follow-up calls (faster, unambiguous)
ai-code-graph context --id "MyApp.Services.UserService.ValidateUser(String)"

Output gives you: complexity, callers, callees, duplicates, method ID.

4) Check blast radius

ai-code-graph impact --id "<method-id>" --depth 3
ai-code-graph callgraph --id "<method-id>" --direction both

5) Find refactoring targets

ai-code-graph hotspots --top 10
ai-code-graph dead-code --top 10
ai-code-graph coupling --top 10

Output Format

All commands default to compact format (1 line per item). Use --format table for human-readable output or --format json for scripting.

Quick Reference

Command Purpose
context <method> Method summary before editing
impact --id <id> Transitive callers (blast radius)
callgraph --id <id> Direct callers/callees
hotspots High-complexity methods
dead-code Uncalled methods
coupling Afferent/efferent coupling
status DB staleness check

See output-contract.md for format details.