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Impact analysis example

What breaks when you change Directus (api)?

Real arc impact output on Directus (api) — same structure as the homepage demo. Know blast radius before you merge.

Project: Directus (api) · Score: 75.1/100 (Healthy architecture) · 789 modules · 2,287 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 Directus (api). 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: 75.1/100 · Stability: 1/100 · Status: moderate_risk · Confidence: 100%

  • Dependency cycles: 100+
  • Layer violations: 40
  • Duplicate authorities: 18

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/logger104 dependents
  • src/constants34 dependents
  • src/cache25 dependents
  • src/utils/get-config-from-env16 dependents
  • src/bus15 dependents
  • src/utils/get-milliseconds14 dependents
  • src/permissions/modules/process-ast/types11 dependents
  • src/utils/get-default-index-name9 dependents
Blast radius, downstream modules
  • src/utils/get-config-from-env435 modules
  • src/bus401 modules
  • src/logger396 modules
  • src/utils/get-milliseconds354 modules
  • src/permissions/modules/process-ast/types350 modules
  • src/constants345 modules
  • src/utils/get-default-index-name341 modules
  • src/cache340 modules
ModuleFan-inBlastRisk
src/utils/get-config-from-env16435CRITICAL
src/bus15401CRITICAL
src/logger104396CRITICAL
src/utils/get-milliseconds14354CRITICAL
src/permissions/modules/process-ast/types11350CRITICAL
src/constants34345CRITICAL
src/utils/get-default-index-name9341MEDIUM
src/cache25340CRITICAL
src/redis8CRITICAL
src/redis/lib/create-redis2CRITICAL
src/redis/lib/use-redis1CRITICAL

Architectural gravity centers

  • src/utils/get-config-from-env— concentrates too many responsibilities
  • src/utils/get-config-from-env— shared utility hub
  • src/bus— concentrates too many responsibilities
  • src/bus— shared utility hub
  • src/logger— 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