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Multi-agent workflows • Parallel engineering

Engineering Agent Teams: Architecting Claude Code Agent Teams for Parallel Engineering

A practical masterclass on configuring, managing, and deploying multi-agent workflows to solve complex coding challenges at scale—faster, with better coverage, and less tunnel vision.

Who it’s for

Senior engineers, tech leads, architects, and AI-enabled development teams who want repeatable patterns for parallelizing implementation, review, debugging, and research with Claude Code agent teams.

Outcomes
  • Understand agent team architecture (Lead, teammates, mailbox) and how peer collaboration differs from hierarchical sub-agents.
  • Apply four core benefits in real projects: parallelization, overcoming tunnel vision, competing hypotheses, and context preservation.
  • Enable and configure agent teams (environment variable + settings) and choose display modes (in-process vs split panes).
  • Orchestrate teams effectively using role definition, direct/broadcast messaging, plan approval, and delegate mode for clean separation of concerns.
  • Control cost and reliability with model selection, task sizing, file ownership strategies, and troubleshooting playbooks.
Price / Format
Format
Live (Masterclass)
Price
FREE
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What You’ll Learn

Time: 2 Hours

A structured walk-through of agent teams in Claude Code—from concepts to configuration, orchestration patterns, real-world workflows, and cost/troubleshooting practices.

What Are Agent Teams?

Core concepts, architecture, and communication flows.
  • Team Lead, Teammates, and the mailbox system
  • Horizontal collaboration vs. hierarchical sub-agents
  • How task assignment, collaboration, and synthesis work end-to-end

Configuration & Setup

Enable agent teams and choose in-process vs split-pane modes.
  • Prereqs: version, subscription, terminal access
  • Enable via CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS
  • tmux/iTerm2 split panes vs in-process navigation

Managing the Team

Orchestration controls, role design, and safe coordination.
  • User-controlled spawning + inherited permissions
  • Delegate Mode and Plan Approval
  • Direct vs broadcast messaging; navigation & context management

Real-World Workflow Patterns

Debugging, code review, and feature construction with teams.
  • Scientific Debate: adversarial hypothesis testing
  • Parallel Code Review: security/performance/tests specialists
  • Tower Construction: dependencies → parallel build → integration

Best Practices, Costs & Troubleshooting

Token management, task sizing, file ownership, and fixes.
  • Model selection strategy (Haiku/Sonnet/Opus) mapped to task complexity
  • Prevent lead impatience; enforce “wait for teammates” sequencing
  • Avoid file conflicts via exclusive ownership + bounded tasks

Q&A and Final Demo

Live demonstration + interactive questions.
  • Hands-on demo of a multi-agent research workflow
  • How prompts decompose into roles and tasks
  • What “good orchestration” looks like in practice

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