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Impact analysis example

What breaks when you change Drizzle ORM (drizzle-orm)?

Real arc impact output on Drizzle ORM (drizzle-orm) — same structure as the homepage demo. Know blast radius before you merge.

Project: Drizzle ORM (drizzle-orm) · Score: 49.9/100 (High architecture risk) · 447 modules · 3,044 edges

Engineering decision simulation

Validation procedure 01 · merge vs. hold before output

Before arc impact

You plan a change to a high fan-in module in Drizzle ORM (drizzle-orm). Would you merge without knowing blast radius?

Typical answer: hold — need dependency context.

After arc impact

Structured output below: score, hotspots, corridors, and high-risk modules — same field schema as the homepage proof.

Decision: confirm hold, narrow change, or inspect paths first.

Published as part of the validation record. Run locally: arc impact <file-you-are-changing>

Architectural Risk Map

Where risk accumulates by control surface — drill down Surface → Substrate → Mechanism → Evidence.

See control surfaces →

Dependency evidence

Architecture visualization

Diagrams are generated from ArcSight analysis data. Dependency graph and risk map show key modules; subsystem view shows high-level structure.

Dependency graph
Dependency graph for this codebase
Subsystem architecture
Subsystem architecture for this codebase
Risk map
Risk map for this codebase

Architecture score & metrics

Score: 49.9/100 · Stability: 0/100 · Status: critical · Confidence: 100%

  • Dependency cycles: 100+
  • Duplicate authorities: 226

Modules to inspect

One row per module. Fan-in is direct dependents. Blast radius is downstream modules reachable from that file.

Fan-in, direct dependents
  • src/entity308 dependents
  • src/utils194 dependents
  • src/sql/sql168 dependents
  • src/column147 dependents
  • src/column-builder134 dependents
  • src/logger62 dependents
  • src/cache/core/types39 dependents
  • src/query-promise32 dependents
Blast radius, downstream modules
  • src/entity431 modules
  • src/logger424 modules
  • src/cache/core/types424 modules
  • src/query-promise424 modules
  • src/migrator424 modules
  • src/utils423 modules
  • src/sql/sql423 modules
ModuleFan-inBlastRisk
src/entity308431CRITICAL
src/logger62424CRITICAL
src/cache/core/types39424CRITICAL
src/query-promise32424CRITICAL
src/migrator30424CRITICAL
src/utils194423CRITICAL
src/sql/sql168423CRITICAL
src/column147CRITICAL
src/column-builder134CRITICAL

Architectural gravity centers

  • src/entity— concentrates too many responsibilities
  • src/entity— shared utility hub
  • src/logger— concentrates too many responsibilities
  • src/logger— shared utility hub
  • src/cache/core/types— concentrates too many responsibilities

CLI workflow

Scan → Fix → Finish → Watch. Nothing else required.

  • arc scanFind issues
  • arc fixApply fixes
  • arc finishResolve remaining
  • arc watchKeep clean

More commands (explain, impact, guard…) →

Key takeaways

  • •Structural scan reports dependency cycles — inspect impact paths before refactors that cross module boundaries.
  • •High fan-in modules are change-risk zones; run arc explain <path> before refactoring.
  • •Run the full workflow (analyze, hotspots, explain, impact, snapshot, drift) in your repo for deterministic architecture insights.

Run ArcSight on your repo

Install the CLI and run analyze, then hotspots and explain for the same workflow.

npm install -g arcsight
arc analyze
Install ArcSight →

This case study is generated from ArcSight analysis data. View short analysis. View all analyses