The Developer as an AI Orchestrator: Engineering Beyond the Codebase

Short summary

A developer describes an agentic frontend pipeline where AI models act as Business Analyst, React Developer, QA, and Tester in sequence, reducing iteration time on repetitive UI tasks. The article is candid about orchestration overhead, hallucination risks, and false confidence from models presenting incorrect solutions with certainty. The core argument: AI excels at code generation but engineering requires architecture, domain understanding, and trade-off evaluation — the developer's value shifts from typing speed to system design and validation.

• •Multi-agent pipeline assigns BA, React Developer, QA, and Tester roles to specialised AI models
• •Honest about limitations: hallucinations, over-engineering, false confidence, and review fatigue
• •Developer value shifts from implementation speed to orchestration, architecture, and correctness validation

Generated with AI, which can make mistakes.