multi-agent-game-dev

Multi-agent orchestration for game development coordinates four AI roles—Architect, Builder, Reviewer, and Ops—using file-based handoffs and a durable memory model to manage complex software projects across sessions.

File-based memory for AI agent workflows stores project state, decisions, and run logs in durable directories, allowing new agent sessions to read a single task beacon and memory snapshot to resume productive work in under a minute.

Setting up a multi-agent pipeline for shipping games requires a Git repository, a defined .codex-like memory layout, and disciplined branching and verification practices to initialize the workspace, memory files, and initial task beacon.

Yes, you can use this multi-agent workflow for complex software projects beyond games. The four-agent coordination and durable memory model scale across complex projects, keeping context across sessions and allowing rapid handoffs between roles.

The limitation of using sequential AI agent roles is the strict requirement for disciplined branching and verification practices to ensure reliability. Without a properly maintained Git repository and memory layout, sequential file-based handoffs between agents may fail.