AgenticAI

byRugved Chandekar

Build a "Multi-Agent System Simulator and Monitor". Architecture: - Frontend: A visual React interface that acts as an operations dashboard. It should show live task statuses ("Backlog", "In Architecture Design", "Code Review", "QA Testing") moving across a Kanban-style pipeline. Include an event log stream component that prints simulated log traces of what individual AI agents are communicating. - Backend: A modular backend with a clean state machine handling the workflow logic. Expose REST endpoints to initiate a new task simulation and pull active status. Include a helper utility that dynamically calculates simulated "token usage", "cost", and "time saved". - Database: Database tracking 'tasks', 'agent_logs', and 'efficiency_metrics'. - Quality Assurance: Write robust unit tests verifying the state transitions of the tasks to ensure no deadlocks or invalid states. The goal is to visually demonstrate how distinct LLM agents collaborate on technical tasks with highly explicit event streams.