Documentation
Graph-backed
Docs stay connected to source structure instead of drifting as isolated prose.
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Graphify
graphify.homes
Documentation automation
Automated codebase documentation with Graphify
Automated codebase documentation works when it reflects real structure. Graphify turns source files, docs, diagrams, comments, and rationale into reusable graph reports that help engineers understand what the system does and why it is shaped that way.
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.
Refresh model
Repeatable
Rebuild graph artifacts after major changes to keep context current.
Audience
Teams
Engineers, reviewers, and AI assistants can all read from the same artifact set.
What does Graphify document automatically?
Graphify documents relationships between files, symbols, dependencies, docs, and rationale. It produces a visual graph, a reusable JSON graph, and a readable report that teams can share.
- Document code paths and dependency relationships.
- Connect diagrams, screenshots, PDFs, and transcripts to implementation context.
- Produce GRAPH_REPORT.md as a readable architecture artifact.
How does graph-backed documentation stay useful?
Graph-backed documentation stays useful because it is generated from structure and can be refreshed. Teams can compare graph output over time instead of treating documentation as a one-off manual snapshot.
- Refresh after major refactors, migrations, or release milestones.
- Use previous graphs as baselines for architecture drift.
- Keep assistant context aligned with what engineers can inspect.
Where should automated docs link internally?
Automated documentation should link to use cases, architecture review workflows, and assistant context pages. Internal links make the topic cluster easier for both humans and crawlers to follow.
- Link documentation pages back to the codebase knowledge graph pillar.
- Cross-link with assistant context and architecture review pages.
- Use consistent anchors such as codebase knowledge graph and repository architecture review.
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.
Repository architecture review with Graphify
Use Graphify for repository architecture review by surfacing dependencies, subsystem clusters, graph centers, and unexpected cross-file links.
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.