Williamfzc Gossiphs Gossiphs

Code Relations

Quickly discover file relationships in a codebase using semantic analysis.

Prerequisites

Ensure gossiphs binary is available:

which gossiphs || echo "Install: cargo install gossiphs"

Core Command

gossiphs relate --file <PATH> [--json]

Output is JSON array with:

• name: source file
• related[]: related files with name, score, refs, defs, related_symbols

Usage Patterns

Find related files

gossiphs relate --file src/auth/login.rs | jq '.[0].related[].name'

Get top N related files by score

gossiphs relate --file src/lib.rs | jq '.[0].related | sort_by(-.score) | .[0:5][] | {name, score}'

Find shared symbols between files

gossiphs relate --file src/lib.rs | jq '.[0].related[] | select(.name | contains("auth")) | .related_symbols[].symbol.name' | sort -u

Impact analysis for a file change

gossiphs relate --file <FILE> | jq '.[0].related[] | "\(.name) (score: \(.score), refs: \(.refs))"'

Parameters

Example Scenarios

Scenario 1: Impact Analysis

User: "I want to refactor User class. What should I check?"

1. gossiphs relate --file src/models/user.py
2. Parse JSON output for related files
3. Report: "These files reference User symbols and may need updates..."

Scenario 2: Find implementation

User: "Where is the authentication logic?"

1. Start from known entry: gossiphs relate --file src/routes/auth.rs
2. Follow related files to trace the flow
3. Report: "Auth flow: routes/auth.rs -> middleware/jwt.rs -> services/auth.rs"

Scenario 3: Dependency discovery

User: "What does payment module depend on?"

1. gossiphs relate --file src/payment/
2. List incoming/outgoing connections
3. Summarize dependency graph

Tips

• First run may be slow - builds index from git history
• Subsequent runs are fast - cached in .gossiphs/
• Semantic over textual - connections based on symbol semantics
• Git history matters - files changed together get stronger connections

Source: williamfzc/gossiphs — distributed by TomeVault.