legion

Autonomous project development is orchestrated through iterative agent swarms that manage the entire lifecycle from exploration and planning to implementation, verification, and hardening. Deploying specialized agents in parallel waves tackles project tasks efficiently.

Iterative agent swarms are specialized autonomous agents deployed in parallel waves to manage continuous loops of planning, implementation, verification, and assessment. This mechanism ensures complex software projects are holistically completed until a stopping condition is met.

Project decomposition and task tracking are managed by orchestrating specialized agents like scouts and implementers. These agents handle task management, agent deployment, and progress tracking to ensure comprehensive project completion.

Yes, you can submit a complex software project description like developing a Python API, and the system will autonomously build, test, and refine it. It provides regular progress updates while handling all development tasks.

Yes, autonomous iterative development integrates comprehensive verification, hardening, and simplification phases as robust quality gates. This ensures high-quality output throughout the end-to-end development lifecycle.

Agent swarms operate in continuous loops until a project is complete or a specific stopping condition is met. Users must define clear project descriptions and stopping conditions to prevent unbounded autonomous development cycles.