Anthropic's Agent Teams feature in Claude Opus 4.6 lets multiple Claude Code instances work in parallel on the same codebase. Here's the architectural model, real-world performance data, and what actually changes for teams building production software.
A comprehensive guide to ClawTeam — the open-source Agent Swarm Intelligence framework. Learn how to set up Dev, QC, and Tech Lead agents on a single laptop, handle security and performance concerns, prevent AI quality issues, and run a solo complex project with production-grade workflows.
Production CI/CD patterns for multi-agent AI systems. Covers LangSmith evaluation pipelines, prompt versioning with S3, canary deployments, regression testing, cost monitoring gates, and automated rollback strategies.
Implementation-ready guide to building the Brain agent in a multi-agent system. Covers LangGraph supervisor patterns, Command API routing, context injection, prompt engineering, state schema design, and cost-optimized model selection.
Production scaling patterns for multi-agent AI systems. Covers AWS Step Functions orchestration, Lambda auto-scaling, Bedrock provisioned throughput, cost optimization strategies, and operational runbooks.
Production security patterns for multi-agent AI systems. Covers IAM least privilege per agent, prompt injection defense, input sanitization, output validation, audit logging, secrets management, and compliance requirements.
Production implementation of state management for multi-agent systems. Covers DynamoDB checkpointing with LangGraph, S3 for large payloads, Athena query patterns, conversation memory, and state recovery strategies.
Complete implementation guide for worker agents in a multi-agent system. Covers tool design patterns, prompt engineering for cheap models, input/output contracts, error handling, and cost optimization with Haiku and DeepSeek.
Production-tested architecture for multi-agent AI systems using LangGraph on AWS. Brain/Worker cost optimization, Step Functions orchestration, DynamoDB checkpointing, CI/CD pipelines, and real-world cost modeling that achieves 5-10x savings.
How to build a coordinated Claude agent team: defining agent skills, assigning responsibilities, orchestrating multi-agent workflows, and collaborating across agents to deliver a real software product from idea to production.
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