Architecture-Aware Planning
Iter understands your project structure. Feature hierarchies, endpoint maps, and dependency tracking give the AI the context it needs to make decisions that fit your codebase.
How planning works
Define features
Build a feature hierarchy with parent-child relationships. Each feature has a unique name, description, and type.
Map endpoints
Register API endpoints and pages with their methods, paths, and target features.
Create requests
Add feature requests with descriptions, acceptance criteria, and affected files.
AI plans implementation
The LLM receives full project context - features, endpoints, existing files - and generates a targeted implementation plan.
Project state model
Features
Hierarchical feature tree with unique names, types (feature, component, service), and parent-child relationships.
Endpoints
API routes and pages with method, path, description, and feature mapping.
Requests
Feature requests with priority, acceptance criteria, affected files, and orchestration status tracking.
File Context
Selected files for LLM context, affected file tracking, and automatic context enrichment.