AI Workflow Orchestration Assigns Engineering Roles to Specialized AI Agents

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A software development approach called AI Workflow Orchestration proposes using multiple specialized AI agents — each mimicking a distinct engineering role — rather than relying on a single AI to generate code. The concept mirrors how real engineering teams operate, with separate agents handling tasks such as architecture, security review, performance analysis, and quality assurance. A key principle of the framework is that developers must understand and approve all AI-driven decisions, rather than blindly accepting generated output. The approach also introduces a Mentor Agent designed to guide beginners by explaining the reasoning behind architectural choices, not just producing code. The goal is to transform AI from a simple code generator into a structured learning and engineering system.

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ProgrammingDEV Community ·

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