archrip-scan

archrip scan — Analyze codebase architecture

Analyze the current codebase and generate .archrip/architecture.json.

Language rule: Respond in the same language as the user's message or $ARGUMENTS. If no user text is available, detect the project's primary language from README/docs and match it. The architecture.json fields (labels, descriptions) should also use that language.

Phase 1: Project Discovery

1. Read top-level files (package.json, composer.json, go.mod, Cargo.toml, pom.xml, pyproject.toml, etc.)
2. Identify language, framework, source root
3. List directory structure (2 levels deep)
4. Auto-detect sourceUrl: Run git remote get-url origin and convert to browse URL:
   • [email protected]:org/repo.git → https://github.com/org/repo/blob/main/{filePath}
   • https://github.com/org/repo.git → https://github.com/org/repo/blob/main/{filePath}
   • [email protected]:org/repo.git → https://gitlab.com/org/repo/-/blob/main/{filePath}
   • If no git remote, leave empty (ask in Phase 7)

Phase 2: Documentation Discovery

Read existing documentation to understand architecture context:

1. Check for: README.md, CLAUDE.md, docs/, doc/, wiki/, ARCHITECTURE.md, CONTRIBUTING.md, ADR/
2. For each document, extract and take notes on:
   • Business context: What problem does this system solve? Who are the users?
   • Component responsibilities: What each module/service does and why it exists
   • Design decisions & constraints: Why certain patterns/libraries were chosen, known limitations
   • Data flow: How data moves through the system (request lifecycle, event flow, etc.)
   • External integrations: What external services are used, why, and how
   • Non-functional requirements: SLAs, performance targets, security policies
   • Deployment & infrastructure: Hosting, CI/CD, environment details
3. Keep these notes — you will use them in Phase 4 to write rich node/edge descriptions and metadata

Phase 3: Layer Identification

Assign each component a layer integer. The rule: higher layer = closer to domain core (more stable, fewer external dependencies). Lower layer = closer to external world (more volatile, I/O-bound).

Reference mappings (layer numbers in parentheses — adapt to actual project structure):

MVC / Layered:

• Laravel: External(0) → Controllers(1) → Services(2) → Domain(3)
• Rails: External(0) → Controllers(1) → Services(2) → Domain(3)
• Django: External(0) → Views(1) → Serializers(2) → Services(3) → Domain(4)
• Spring Boot: External(0) → Controllers(1) → Services(2) → Repositories(3) → Domain(4)
• NestJS: External(0) → Controllers(1) → Services(2) → Repositories(3) → Domain(4)
• Next.js App Router: External(0) → Route Handlers/Pages(1) → Components(2) → Hooks/Services(3) → Data Access(4)
• FastAPI: External(0) → Routers(1) → Services(2) → Repositories(3) → Domain(4)

DDD / Clean Architecture / Hexagonal (use "layout": "concentric"):

• Generic: External(0) → Adapters(1) [Inbound (HTTP handlers, CLI), Outbound (DB impl, API clients)] → Application Core(2) [Use Cases / Application Services, Ports] → Domain(3)
• Go (Hex): External(0) → Adapters(1) [Handlers, Repositories] → Application Core(2) [Use Cases, Ports] → Domain(3)
• Flutter (Clean): External(0) → Data Sources(1) → Repositories(2) → Use Cases(3) → Domain(4)
• Note: Ports are interfaces owned by the application core (use cases / application services; sometimes placed in domain, but not required). Adapters implement outbound Ports and call inbound Ports. For layering, Ports should be at the same layer as the application core (or 1 step closer to Domain), never at the adapter layer.

CQRS / Event-Driven:

• CQRS: External(0) → Command Handlers / Query Handlers(1) → Application Services(2) → Domain(3). Command and Query sides share the same layer structure but separate models
• Event Sourcing: External(0) → Command Handlers(1) → Event Store(2) → Projections(3) → Read Models(4)
• Event-Driven (Motia, Temporal, etc.): External(0) → API Steps(1) → Event Steps(2) → Services(3) → Domain(4)

Serverless / Microservices:

• SST/Lambda: External(0) → Infrastructure(1) [sst.config.ts, CloudFormation] → API Gateway(2) → Lambda Handlers(3) → Services(4) → Domain(5)
• Microservices: External(0) → Infrastructure(1) [Terraform, Pulumi, K8s manifests] → Gateway/BFF(2) → Service Boundaries(3) → Internal Services(4) → Shared Domain(5)

Modular Monolith:

• Generic: External(0) → Module APIs(1) [public interfaces] → Module Internal Services(2) → Shared Kernel / Domain(3)

For unlisted frameworks: group by directory responsibility and apply the abstract rule above.

Phase 4: Read Key Files

For each layer, read representative files to extract:

• Component names and purposes
• Dependencies (imports, injections)
• Public methods/routes
• Database schemas (from migrations or entity definitions)
• SQL queries / ORM operations (from repositories, DAOs, or query builders)

Granularity: one node per real component. Resist the urge to bundle siblings into umbrella nodes (e.g. a single domain-shared-models covering 9 entities, or one adpt-shared-repos for every repository implementation). Each Controller, UseCase, abstract Repository, Repository implementation, and Domain Entity is normally its own node. See schema-reference.md → Node Granularity for the exact rule of thumb.

Repository → Port pattern: in DDD/Hexagonal projects, every abstract Repository in domains/ becomes a port node (layer = application core), and every concrete implementation in infrastructures/ becomes an adapter node (outer layer). The use case depends on the port; the adapter implements the port. See schema-reference.md → Repository → Port pattern for the canonical shape.

Enrich descriptions from documentation: Cross-reference code with your Phase 2 notes. For each component, compose a description (1-3 sentences) that covers:

• What: Its responsibility (from code analysis)
• Why: Business context or design rationale (from docs)
• How: Key implementation details, constraints, or patterns worth noting

A good description tells the reader something they cannot see from the label alone.

• BAD: "User service" (just echoes the label)
• GOOD: "Handles user registration, login, and profile management. Uses JWT for session tokens with 24h expiry. Password hashing via bcrypt (cost=12)."

Also identify metadata candidates:

• SLA/performance notes → metadata with type: "list"
• Related doc links → metadata with type: "link"
• Infrastructure details (Lambda ARN, DB engine, etc.) → metadata with type: "code" or "text"
• SQL queries or ORM operations → edge metadata with type: "code" or "list" (see Phase 5)

Do NOT read every file. Focus on entry points, core logic, interfaces, and data models.

Phase 5: Map Relationships

For each component, identify:

• What it depends on (imports, constructor injection)
• What depends on it
• External service connections

Edge type matters. dependency / implements / relation are not interchangeable. In particular, implements edges always flow adapter → port — never adapter → entity, adapter → adapter, or adapter → database. If you cannot point an implements edge at a port node, the abstraction is missing from the diagram and should be added. See schema-reference.md → Edge type semantics.

Connectivity check: After mapping, verify every node has at least one edge. If a node is orphaned:

• DTOs/entities → connect to the service or adapter that references them
• External services → connect to the adapter/controller that integrates with them
• Entities → connect to the repository/adapter that references them
• Database nodes → connect to the adapter/repository that queries them
• Infrastructure nodes → connect to the adapter/service they provision

Edge enrichment — SQL / query details: For edges connecting a service/adapter/repository to a database or entity node, include query information:

• description: summarize what data operation this edge performs (e.g., "Queries active users by email with JOIN on roles")
• metadata: include representative SQL or ORM queries found in the source code

Example:

{
  "source": "adpt-user-repo",
  "target": "db-users",
  "type": "dependency",
  "description": "CRUD operations on users table; filters by email and status with role JOIN",
  "metadata": [
    { "label": "Queries", "value": ["SELECT u.*, r.name FROM users u JOIN roles r ON u.role_id = r.id WHERE u.email = ?", "INSERT INTO users (name, email, role_id) VALUES (?, ?, ?)"], "type": "list" },
    { "label": "ORM", "value": "User::with('role')->where('email', $email)->first()", "type": "code" }
  ]
}

Guidelines:

• Include the most representative 2-3 queries (not every query)
• For ORMs (Eloquent, Drizzle, Prisma, etc.), use type: "code" with the ORM syntax
• For raw SQL, use type: "list" with individual queries
• Parameterize values (use ? or :param placeholders, not literals)

Phase 6: Identify Use Cases

Group related components into user-facing features.

Phase 7: Draft Review — STOP and ask the developer

IMPORTANT: Do NOT proceed to Phase 8 until the developer responds. You MUST stop here and wait for input.

Present a summary of what you found:

• Documents read: List all docs you read in Phase 2 (e.g., README.md, CLAUDE.md, docs/architecture.md)
• List of discovered nodes (grouped by layer/category)
• List of discovered use cases
• External services found

Then ask:

• Are there other documents you should read? (e.g., docs/, wiki/, design docs)
• Are there missing components, external services, or use cases?
• Should anything be excluded?
• sourceUrl auto-detected as: <detected-url> — correct? (If not detected, ask for the sourceUrl template, e.g., https://github.com/org/repo/blob/main/{filePath})

End your message with: "Please review and reply with corrections, or type 'go' to generate."

Do NOT write architecture.json yet. Wait for the developer to respond.

If the developer replies with corrections, apply them and present the updated summary. Repeat until they say "go" / "ok" / "skip".

Phase 8: Generate architecture.json

Only run this phase AFTER the developer has approved the draft in Phase 7.

Create .archrip/ directory if it doesn't exist, then write the complete .archrip/architecture.json following the schema, incorporating developer feedback.

For the complete schema specification (field names, node/edge rules, layout selection), see schema-reference.md.

After writing the file:

1. Run npx archrip serve in the terminal (auto-builds if needed, opens browser)
2. Tell the developer: Run /archrip-update to make further adjustments (add/remove nodes, fix relationships, etc.)

$ARGUMENTS