AI Agents
VirtualBoard includes role-specific prompts and documentation for multiple AI agents. Each agent has clear responsibilities, rules of engagement, and workflow guidelines to ensure smooth collaboration.
Available Agent Roles
Project Manager
Oversees feature planning, prioritization, and stakeholder communication. Manages backlog grooming and sprint planning.
System Architect
Designs system architecture, defines technical specifications, and ensures scalability and maintainability.
Backend Developer
Implements server-side logic, APIs, database schemas, and backend services following best practices.
Frontend Developer
Builds user interfaces, implements designs, and ensures responsive, accessible web experiences.
QA Engineer
Writes and executes test plans, performs quality assurance, and validates feature implementations.
Security Engineer
Reviews code for security vulnerabilities, implements security best practices, and conducts audits.
DevOps Engineer
Manages CI/CD pipelines, infrastructure, deployments, and monitoring systems.
Data Engineer
Designs data pipelines, manages data infrastructure, and ensures data quality and availability.
Mobile Developer
Builds native or cross-platform mobile applications for iOS and Android platforms.
Technical Writer
Creates documentation, API references, user guides, and maintains knowledge base content.
Product Designer
Creates user experience designs, wireframes, prototypes, and ensures design consistency.
Analytics Engineer
Implements tracking, analyzes user behavior, and provides data-driven insights for product decisions.
Agent Collaboration Features
Role-Specific Prompts
Each agent role includes detailed prompts with responsibilities, workflows, and best practices tailored to their specialty.
Rules of Engagement
Clear guidelines for when agents should claim features, how to handle handoffs, and conflict resolution procedures.
Ownership Tracking
Features are assigned to specific agents with ownership locks to prevent concurrent editing conflicts.
Workflow Integration
Agents work within the same lifecycle (backlog → in-progress → review → done) with automated validation.
Access Agent Documentation
All agent documentation is available in the agents/ directory of the template repository. Each agent has a dedicated markdown file with complete instructions, examples, and best practices.