This epic focuses on a proof of concept exploring agent-based collaboration on development tasks using Agor. The goal is to evaluate whether multiple specialized AI agents, working together on the same task, can meaningfully accelerate development while increasing confidence when evolving complex logic.

The epic formalizes experimentation with role-based agents, where each agent is responsible for a specific concern such as implementation, validation, or refinement. Engineers remain fully accountable for outcomes, while agents provide continuous parallel feedback and iteration.

Target State:{}

Validate whether agent-based collaboration should be expanded beyond the PoC phase and adopted more broadly for complex or high-risk development tasks across the team.

Outcome / Value:{}

Faster delivery for complex tasks, reduced risk when evolving critical logic, and a potential new collaboration model for high-impact engineering work.