Handling Git Merge Conflicts in Multi-Agent Worktrees
Learn how to resolve merge conflicts and integrate code safely when multiple autonomous AI coding agents edit code concurrently in linked Git worktrees.
#Multi-Agent Systems
Architecting multi-agent engineering workflows: role separation (writer vs reviewer), worktree isolation, and deterministic consensus.
Primary Pillar:AI Agents
Agent Orchestrator vs Model Router: Architecture for Multi-Agent AI Systems
Separate workflow orchestration from model routing so multi-agent systems can choose the right worker and the right model without duplicating control logic.
AI Agent Handoff: Build Fallback Without Losing Context
Design AI agent fallback that preserves task state, transfers workspace ownership safely, verifies progress, and avoids endless handoff loops.
Multi-Agent Review Pipeline for AI Coding Agents
A multi-agent review pipeline for AI coding work separates implementation, independent review, final audit, and risk-based human approval with clear evidence.