Real-World Use Cases
Nomik isn't theoretical. These are the scenarios engineers face every day — and how a persistent knowledge graph changes the outcome.
🚀 New Developer Onboarding
A new engineer joins the team and spends days reading code, asking teammates, and piecing together how the system works.
Ask your AI: "Give me a codebase briefing." Nomik returns the full architecture — file count, routes, DB tables, external APIs, high-risk functions — in seconds.
"Give me a codebase briefing"nm_onboard🔧 Safe Refactoring
You need to rename or modify a function but you don't know what depends on it. Grep returns 52 results — comments, imports, logs, tests — and you still miss the cron job.
Ask your AI: "What breaks if I change processPayment?" Nomik traverses the graph and returns every route, function, cron job, and DB table that depends on it.
"What breaks if I change processPayment?"nm_impact📋 PR Review & Blast Radius
A pull request touches 5 files. The reviewer approves it, but nobody notices that a deleted function had 8 callers across the codebase.
Run nomik pr-impact before merging. It compares the graph state with the new parse, classifies every changed symbol, and calculates the blast radius automatically.
"What's the blast radius of my PR?"nm_diff + nm_impact🔒 Security Audit
Your security team asks: "Are there hardcoded secrets? Which files import vulnerable dependencies?" Nobody knows without manually auditing hundreds of files.
Run nomik audit for dependency vulnerabilities with blast radius, and nomik guard for hardcoded secret detection. Both integrate with CI for automated checks.
"Are there any vulnerabilities or hardcoded secrets?"nm_audit + nm_guard🧪 Targeted Test Runs
After changing a function, you run the entire test suite (20 minutes) because you don't know which tests actually cover the changed code.
Ask Nomik which tests are affected. It traces the graph from the changed symbol to find every test file that imports or transitively depends on it.
"Which tests should I re-run after changing processPayment?"nm_test_impact🏗️ Architecture Review
The codebase has grown organically. Nobody knows which modules are tightly coupled, which files are god files, or where the dead code lives.
Run nomik rules for a full architecture health check. It detects dead code, god files, duplicates, circular imports, and evaluates 9 configurable quality rules.
"How healthy is our codebase architecture?"nm_health + nm_rules + nm_communitiesnpm install -g @nomik-ai/cli, run nomik scan ., and start asking your AI assistant these exact questions. Get started in 5 minutes →