Architecture review

Repository architecture review with Graphify

Repository architecture review needs more than file browsing. Graphify surfaces structural edges, subsystem communities, graph centers, and surprise relationships so engineers can review architecture with evidence before they refactor, migrate, or approve risky changes.

Graphify outputs

graph.html

graph.json

GRAPH_REPORT.md

Graphify stores inspectable artifacts so codebase knowledge can be reviewed by humans and reused by AI coding assistants.

Review target

Structure

Focus on dependencies, cross-module relationships, and high-gravity files.

Best timing

Before change

Build a graph before a migration, refactor, or major integration review.

Output

Shared report

Use GRAPH_REPORT.md to make review findings readable for the full team.

How does Graphify expose architecture risk?

Graphify identifies graph centers, high-dependency files, subsystem clusters, and unexpected cross-file links. These signals help reviewers see where a small change may travel through the repository.

Inspect god nodes before editing shared infrastructure.
Review community clusters to confirm subsystem boundaries.
Use surprise edges as prompts for deeper code review.

How should teams use graph artifacts in review?

Teams should use graph.html for visual inspection, graph.json for tool-based checks, and GRAPH_REPORT.md for review notes and handoff. Each artifact supports a different part of the architecture review loop.

Open graph.html during planning and review meetings.
Attach GRAPH_REPORT.md to architecture or migration tickets.
Compare refreshed artifacts after the proposed change lands.

What questions should reviewers ask first?

Start with questions that reveal blast radius: what depends on this module, which files bridge subsystems, and which rationale notes explain the current design.

What paths connect the changed module to critical workflows?
Which cluster owns this responsibility today?
What documentation or rationale explains the current dependency?

Related Graphify guides

Continue through the Graphify topic cluster with pages that explain assistant context, architecture review, documentation, and graph-based codebase understanding.

Codebase knowledge graphs for AI assistants

Learn how codebase knowledge graphs connect source files, docs, diagrams, and rationale so AI coding assistants can answer with structure.

AI coding assistant context that persists

Graphify creates persistent AI coding assistant context from code, docs, PDFs, diagrams, screenshots, and transcripts.

Automated codebase documentation with Graphify

Graphify automates codebase documentation by turning source files, docs, and design rationale into reusable graph reports.

Turn this concept into a real project graph

Start from the use cases page or upload a project ZIP to build a graph that your team can inspect and reuse.

See use cases Build a graph