Create and manage your projects for better organization and context management
Projects serve as containers that organize your AI agent runs around a specific task, feature, or initiative. By grouping related runs together, you can:
Maintain context continuity across multiple agent interactions
Share common documentation and requirements with all agents
Track progress on complex, multi-step tasks
Collaborate effectively with team members on larger initiatives (coming soon)
All AI agents have limited context windows, meaning they can only process and remember a finite amount of information before their performance degrades. This limitation becomes critical when working on:
Here’s a proven workflow for maximizing project effectiveness:
Deploy a research agent to analyze your codebase and understand the current architecture. Generate a comprehensive design document that outlines requirements, constraints, and implementation strategy
Create a project from your design document with clear naming.
Trigger specialized agents for specific implementation tasks. Leverage the shared context to maintain consistency across agents