MULTI-AGENT

Steve Yegge's Gas Town thesis is less about one tool than a shift from one coding agent to a durable, supervised colony of workers.

VS Code 1.128 shipped today with multi-chat support for Claude agent sessions. Run parallel conversations in one workspace, fork turns, compare approaches, and monitor subagents. Complete setup and workflow guide.

We rebuilt and replatformed this site in a day by running a fleet of AI agents in parallel. Here is the honest operating model - the ownership rules, the verification gate on every handoff, and the failure modes we hit, with the guardrail each one produced.

Fable 5 changes multi-agent orchestration because the orchestrator can now hold the whole project in one head. Here is the manager-model pattern: a 1M-context frontier model leading, delegating scoped work to cheaper workers, and verifying results.

A companion guide to the OpenAI Codex video: a tour of the Codex desktop app, its plan and goal modes, plugins, multi-agent workflows, and UI annotation. Here is what the video shows and where to go deeper.

Anthropic added three new primitives to Claude Managed Agents in spring 2026 - dreaming, outcomes, and multi-agent orchestration. Here is how each one works and when to use them together.

Parallel agents can move faster than one agent, but only when tasks have clean ownership, review receipts, and a merge path that does not turn speed into cleanup work.

AgentKit gives you Agent Builder, Connector Registry, and ChatKit. I rebuilt my newsletter-research agent on it. Here is where the visual canvas wins and where I bailed back to code.

From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.

How to use Claude Code's Task tool, custom sub-agents, and worktrees to run parallel development workflows. Real prompt examples, agent configurations, and workflow patterns from daily use.

How to coordinate multiple AI agents: six patterns from fan-out parallelism to hierarchical delegation, with code for CrewAI, LangGraph, AG2, and more.

Multi-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.

From swarms to pipelines - here are the patterns for coordinating multiple AI agents in TypeScript applications.

Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.

Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.