Build Graph

Build or incrementally update the persistent code knowledge graph for this repository.

Prerequisites

Requires Python 3.10+ with: pip install tree-sitter tree-sitter-language-pack networkx

Steps

1. Check availability — Run via Bash:

   bashCopy

   python .claude/scripts/code_graph status --json
   

   • If error (Python/deps missing): show install instructions and stop
   • If last_updated is null: graph never built → proceed with full build
   • If last_updated exists: graph exists → proceed with incremental update

2. Build or update — Run via Bash:

   • Full build: python .claude/scripts/code_graph build --json
   • Incremental: python .claude/scripts/code_graph update --json

3. Report results from JSON output:

   • Files parsed, nodes created, edges created
   • Languages detected
   • Any errors encountered
   • Build type (full vs incremental)

When to Use

• First time setting up graph for a project
• After major refactoring or branch switches
• If graph seems stale or out of sync
• Graph auto-updates via PostToolUse hook, so manual builds are rarely needed

Notes

• Graph stored at .code-graph/graph.db (SQLite, auto-gitignored)
• Supported: Python, TypeScript, JavaScript, Vue, Go, Rust, Java, C#, Ruby, Kotlin, Swift, PHP, Solidity, C/C++
• Initial build: ~10s for 500 files. Incremental: <2s

Connectors (Auto-Run)

After build/update, graph connectors run automatically if configured in project-config.json:

• API Endpoints: Frontend HTTP calls matched to backend routes (graphConnectors.apiEndpoints)
• Implicit Connections: Entity events, message bus, command events (graphConnectors.implicitConnections)

See /graph-connect-api and .claude/docs/code-graph-mechanism.md for details.

DB Performance Indexes

The graph database includes optimized indexes created automatically on first build:

• idx_nodes_name — fast node name lookups for search
• idx_edges_kind_source — composite index for filtered edge queries (kind + source)
• idx_edges_kind_target — composite index for filtered edge queries (kind + target)

These indexes are defined in the init schema and auto-create in any new project on first graph build.

Auto-Connect After Build

After building, the CLI automatically runs:

1. API connector — detects frontend HTTP calls matching backend route definitions
2. Implicit connector — detects behavioral relationships (entity events, bus messages, command events) based on rules in project-config.json → graphConnectors.implicitConnections[]

This creates edges for MESSAGE_BUS, TRIGGERS_EVENT, PRODUCES_EVENT, TRIGGERS_COMMAND_EVENT, and API_ENDPOINT — enabling full system flow tracing via the trace command.

Describe (AI-Friendly Command Reference)

Run python .claude/scripts/code_graph describe --json to get MCP-style structured descriptions of all available CLI commands, their parameters, and usage. Useful for AI agents to discover graph capabilities programmatically.

Valid CLI Subcommands

build, update, status, blast-radius, query, connections, trace, search, find-path, batch-query, sync, export, export-mermaid, connect-api, connect-implicit, review-context, describe

Common Mistakes (DO NOT USE)

Closing Reminders

• MUST break work into small todo tasks using TaskCreate BEFORE starting
• MUST search codebase for 3+ similar patterns before creating new code
• MUST cite file:line evidence for every claim (confidence >80% to act)
• MUST add a final review todo task to verify work quality