# What Is Archify and Its Primary Purpose? An AI-Powered System Mapping Tool Explained

> Discover Archify, an AI-powered system mapping tool. Transform codebases into interactive system maps with its efficient validate-and-deliver workflow. Learn its purpose today.

- Repository: [tt-a1i/archify](https://github.com/tt-a1i/archify)
- Tags: getting-started
- Published: 2026-08-11

---

**Archify is an agent skill that transforms codebases or textual system descriptions into polished, interactive system maps through a validate-and-deliver workflow.**

Archify bridges the gap between raw code understanding and visual communication. Developed as an open-source tool in the `tt-a1i/archify` repository, it enables AI-augmented developers to generate **deterministic, auditable architecture diagrams** directly from chat interfaces—without hallucinated topology or unsupported runtime claims.

## How Archify Works: The Five-Step Workflow

The core engine follows a strict pipeline defined in [`README.md`](https://github.com/tt-a1i/archify/blob/main/README.md) (lines 13–35). Each stage produces machine-verifiable artifacts:

### 1. Generate — Typed JSON Intermediate Representation

The agent parses your prompt or codebase into a **strictly-typed JSON IR**. This intermediate representation captures nodes, edges, trust boundaries, and evidence links as structured data rather than rendered pixels.

```bash
npx skills add tt-a1i/archify -g

```

This installs the skill globally for agents including Raven, Cursor, Claude Code, or OpenCode.

### 2. Validate — Schema and Layout Enforcement

Built-in validators in [`archify/SKILL.md`](https://github.com/tt-a1i/archify/blob/main/archify/SKILL.md) enforce JSON schema compliance, layout rules, and routing logic. Failures return **machine-readable repair receipts** rather than broken diagrams (README.md, lines 98–102).

### 3. Preview — Local Loop with Error Recovery

A file watcher monitors the JSON source and **reloads only after successful validation**. If validation fails, the previous good diagram remains visible—no blank screens or partial renders (README.md, lines 16–21).

### 4. Deliver — Atomic Artifact Replacement

Verified outputs replace previous versions atomically. Supported formats include **HTML, PNG, SVG, WebM, and share-cards**—all self-contained and ready for embedding in READMEs or release notes (README.md, lines 24–29).

### 5. Iterate — Surgical Updates

The agent modifies specific JSON regions while preserving the rest of the diagram, enabling **focused refinement** without regenerating everything (README.md, lines 30–35).

## Primary Purpose: Trustworthy Visual Representation

Archify exists to solve a specific problem: architecture diagrams that drift from reality or cannot be audited. Its design priorities are:

- **Grounded in authored facts** — Evidence links attach to exact source lines when requested
- **Deterministic output** — Same input produces identical JSON IR and render
- **Deterministic and auditable** — Every claim traceable to codepaths or explicit declarations

Target use cases include **architecture reviews before PR merges**, **agent-driven interactive exploration** (search nodes, trace reachability, compare roles), and **exportable artifacts** for documentation.

## CLI Commands and Practical Usage

### Generate a Diagram from Description

```bash
node archify/bin/archify.mjs guide "Show an API request with Redis cache miss"

```

The `guide` command in `archify/bin/archify.mjs` outputs both an HTML diagram and the typed JSON source (README.md, lines 58–63).

### Compare Architecture Snapshots

```bash
node archify/bin/archify.mjs compare architecture base.json head.json architecture-delta.html --json

```

The `compare` command produces a **Before / Delta / After** view highlighting added, removed, changed, and moved facts—ideal for delta reviews (README.md, lines 52–56).

### Agent-Directed Generation

```text
Use archify to create a high-level runtime architecture diagram of this repository.
Show 8–12 core components, one primary path, external dependencies, and trust boundaries.

```

The agent handles JSON IR generation, validation, and returns an interactive HTML file (README.md, lines 17–24).

## Key Source Files and Their Roles

| File | Purpose |
|------|---------|
| `archify/bin/archify.mjs` | Main CLI entry; implements `guide`, `validate`, `preview`, `deliver`, `compare` |
| [`archify/SKILL.md`](https://github.com/tt-a1i/archify/blob/main/archify/SKILL.md) | Formal agent contract—JSON schema, renderer expectations, validation rules |
| [`archify/schemas/README.md`](https://github.com/tt-a1i/archify/blob/main/archify/schemas/README.md) | Typed-JSON schema definitions for five diagram modes |
| [`examples/web-app.html`](https://github.com/tt-a1i/archify/blob/main/examples/web-app.html) | Runnable example viewer of generated web-app architecture |

## Summary

- Archify is an **agent skill** for converting codebases into interactive system maps through a validated JSON pipeline
- The **primary purpose** is producing **trustworthy, shareable, self-contained visual representations** without invented topology
- Five-stage workflow: **Generate → Validate → Preview → Deliver → Iterate**
- Output formats: **HTML, PNG, SVG, WebM, share-cards**
- Key command: `archify/bin/archify.mjs` with subcommands `guide`, `compare`, `validate`, `preview`, `deliver`

## Frequently Asked Questions

### What makes Archify different from other diagram generators?

Archify requires **machine-validated JSON IR** before any visual output, produces **repair receipts** on failure, and maintains **evidence links** to exact source lines. This eliminates drift between diagram and codebase that plagues manually maintained documentation.

### Can Archify run without an AI agent?

Yes. The CLI in `archify/bin/archify.mjs` operates independently. You can invoke `guide`, `validate`, `preview`, `deliver`, and `compare` commands directly with JSON files or text descriptions.

### What diagram types does Archify support?

According to [`archify/schemas/README.md`](https://github.com/tt-a1i/archify/blob/main/archify/schemas/README.md), Archify supports five typed-JSON schema modes covering **system architecture, workflow, sequence, data-flow, and lifecycle** diagrams.

### How does Archify handle errors during generation?

Validation failures return **machine-readable repair receipts** rather than partial renders. The preview loop preserves the last valid diagram while you fix the JSON source, ensuring you never present broken or misleading visuals.