Orchestration
27 articles about orchestration.
668K Line Codebase Multi-Agent Orchestration - Solving File Conflicts
How to coordinate multiple AI agents working on a large codebase simultaneously. Directory ownership, file locks, and strategies for preventing destructive
Agent Teams vs Dedicated Concurrency - Orchestration or Tmux Sessions
Should you use agent team orchestration or just run 5-6 sessions in tmux? Decomposition matters more than the coordination method. Here's what works.
Agent to Agent to Human - Shared State Files as Communication
Using a shared state file as a communication channel between agents and humans. Simple append-only files beat complex message queues for multi-agent
AI Agent Orchestration - A Beginner's Guide to Multi-Agent Workflows
AI agent orchestration coordinates multiple agents to complete complex tasks. Learn the key patterns - sequential, parallel, and hierarchical - with real
Broken Telephone in Agent Chains - Why Intent Gets Lost Beyond 2 Hops
When AI agents pass tasks through a chain, intent degrades after two hops. The central coordinator pattern keeps the original goal intact.
Claude Code as the Brain for Desktop Automation Workflows
Claude Code is not just a coding tool - it is the ideal orchestration brain for desktop automation. Here is how to use it as the central controller for
Controlling AI Agent Swarms with tmux - the Scrappy Approach That Works
Forget fancy orchestration frameworks. Running AI agent swarms with raw tmux sessions is surprisingly effective for small teams. Here's how to manage
Cross-Review Between Parallel Agents Catches the Bugs Single Agents Miss
When parallel agents review each other's work instead of their own, they catch integration-level bugs that self-review misses. The data shows 87% fewer false positives and 3x more real bugs found.
Simple Routing Rules Beat Complex Orchestrators for Parallel AI Agents
When running multiple AI agents on the same codebase, simple delegation rules outperform sophisticated orchestration layers. Here's what works in practice.
Dumb Orchestrator With Smart Workers Beats One Big Agent
A simple decision-tree orchestrator routing tasks to specialized worker agents - browser, accessibility, sequential - is more reliable than a single
The Simplest Way to Log Parallel Sub-Agent Conversations
When running 5+ AI agents in parallel with an orchestrator, having each sub-agent write its conversation to a file is the most reliable logging approach.
How I Build Multi-Agent Systems: Routing via Bindings
Multi-agent systems work best when each agent has focused bindings. Routing via tool bindings keeps agents specialized and prevents scope creep across the
Multi-LLM Agent Routing - Using Different Models for Different Subtasks
How AI agents route between multiple LLMs - using Claude for orchestration, smaller models for classification, and specialized models for code generation or
Using Multiple LLMs for Multi-Agent Workflows - Orchestration Patterns That Work
How to run multi-agent workflows with different LLMs for different subtasks. Claude as orchestrator, specialized models for specific jobs, and env var
Claude Orchestrates GPT and Gemini - Multi-Model Routing for Desktop Automation
Use Claude for planning and reasoning, route execution tasks to cheaper models like GPT or Gemini. Multi-model orchestration cuts costs without sacrificing
Orchestrate AI Agents from Your Phone with Mobile Approval Workflows
The missing piece in AI agent orchestration is mobile approval - webhook-based push notifications with approve and deny buttons that let you unblock agents
Orchestrating AI Agents Over a Compliance Knowledge Base
How to build compliance-aware AI agent orchestration using stateless sub-agents with structured JSON I/O for auditable, repeatable regulatory workflows.
Orchestrator Implementor Review Loop - Code Review with tmux Claude Code Sessions
How to implement a code review loop using tmux-based Claude Code orchestration with separate orchestrator, implementor, and reviewer sessions.
Replace CrewAI with Parallel Claude Code Agents in Git Worktrees
How to replicate CrewAI's multi-agent orchestration using 5-6 parallel Claude Code sessions in git worktrees - simpler, faster, and with better results.
MCP Changed How I Think About AI Agent Orchestration
Complex orchestration frameworks are overkill. A simple JSON state object passed between steps handles most AI agent workflows better than any framework.
Going Single Model vs Orchestrating Across 4 LLMs
Sometimes the nuclear reset of dropping multi-model orchestration for a single LLM is the right call. Fewer moving parts means fewer failure modes and
Sub-Agents Spawn Overhead - Batching Tasks in Multi-Agent Systems
Spawning one sub-agent per task creates massive overhead in multi-agent systems. Batching related tasks into fewer agents with scoped responsibilities
Using tmux and Cron for Scheduled AI Agent Management
How to give each AI agent its own tmux pane on a cron schedule for reliable, observable agent orchestration on your local machine.
Agent Orchestrators vs Parallel Sessions with Worktrees
Comparing agent orchestration patterns vs parallel sessions with git worktrees. Real isolation wins for coding tasks because each agent gets its own workspace.
Building a Desktop App to Orchestrate 5 Claude Agents in Parallel
How to build a Swift desktop app that runs 5 Claude Code agents in parallel on the same repo - task assignment, progress monitoring, and conflict prevention.
Using Claude Chat to Orchestrate Claude Code via MCP
Run 5 Claude Code agents in parallel on the same repo with CLAUDE.md as the shared brain. Claude Chat acts as the orchestrator through MCP server connections.
Start with One Agent, Not a Team - Why Single Agents Beat Multi-Agent Orchestration
A single well-scoped agent with real execution capability beats a complex multi-agent system. Multi-agent adds coordination overhead, error propagation, and