7 Steps to Build a Parallel Development Workflow with Claude Code Agent Teams

This guide shows how to replace the traditional serial code‑review‑test‑PR‑doc cycle with a team of Claude Code agents that run five tasks in parallel, covering agent levels, environment setup, model routing, security permissions, cost control, and a side‑by‑side performance comparison.

AI AgentsClaude Codecost optimization

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7 Steps to Build a Parallel Development Workflow with Claude Code Agent Teams

AI Tech Publishing

Mar 8, 2026 · Artificial Intelligence

Three AI Agent Workflow Patterns: Sequential, Parallel, and Evaluation‑Optimized

The article analyzes three core workflow patterns for AI agents—sequential, parallel, and evaluation‑optimized—explaining their mechanics, trade‑offs in latency, token cost, and reliability, and offering concrete guidance on when to adopt each pattern or combine them.

AI AgentsWorkflow Patternsevaluation optimization

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Three AI Agent Workflow Patterns: Sequential, Parallel, and Evaluation‑Optimized

DataFunSummit

Aug 18, 2022 · Artificial Intelligence

Evolution and Technical Practices of Du Xiaoman Risk Control Decision Engine

This article presents a comprehensive overview of Du Xiaoman's risk control system evolution—from early rule‑based engines to AI‑enhanced intelligent decision engines—detailing technical practices such as strategy iteration acceleration, decision latency reduction, parallel workflow design, and future trends in data quality, automated strategy optimization, and real‑time analytics.

Machine Learningdata qualitydecision engine

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Evolution and Technical Practices of Du Xiaoman Risk Control Decision Engine