EFEMM v0.4 ships today. Multi-agent mode: 3 AI agents collaborate on big code refactors. Here is the workflow, the results, the time savings.
What is multi-agent mode
EFEMM v0.4 lets you spawn 3 AI agents that work on the same refactor in parallel. Each agent has a different role:
- Agent 1 — the architect. Designs the refactor. Identifies the abstractions. Proposes the new file structure.
- Agent 2 — the implementer. Writes the code based on Agent 1’s design. Runs the test suite.
- Agent 3 — the reviewer. Reviews Agent 2’s code. Suggests improvements. Catches edge cases.
The workflow
- User prompts EFEMM with the refactor. Example: “Refactor the EFURC card renderer to support the new Exile mechanic.”
- EFEMM spawns 3 agents. Each agent works in parallel on its role.
- Agent 1 produces a design doc. Agent 2 produces the code. Agent 3 produces the review.
- EFEMM merges the 3 outputs. Final result: design doc + code + review.
Time savings
Single-agent mode: 4 hours for a big refactor (1000+ line code change).
Multi-agent mode: 1 hour. 4x speedup.
The speedup comes from parallelism. Agent 1 designs while Agent 2 waits. Agent 2 implements while Agent 3 reviews. The agents don’t block each other.
Quality comparison
Single-agent mode: 87% pass rate on the first test run.
Multi-agent mode: 96% pass rate on the first test run.
Agent 3’s review catches edge cases that Agent 2 misses. The review pass is the difference between 87% and 96%.
What this means for AI-assisted game dev
Multi-agent mode is the next step in AI-assisted game dev. Single-agent mode is fast. Multi-agent mode is fast AND accurate. The combination is what makes the AI agent viable for production code.
What this means for EFURC v0.3 (Outsiders)
EFEMM v0.4 shipped in time for EFURC v0.3. The Outsider cards (16 new cards + the Exile mechanic) were the first major refactor built with multi-agent mode. The refactor shipped in 1 hour with 96% pass rate.
