Developer Uses AI as a Layered Review System, Replacing Traditional Code Management

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A software developer has shared how they restructured their personal project workflow over the past year by treating AI not as a single tool but as an interconnected management system. Rather than reviewing code manually, they chain multiple AI models to write, review, and test code, then log errors as rules for future AI sessions. The approach has yielded notable results across different technology stacks, including award wins at the June Solstice Game Jam and the WeCoded 2026 Frontend Art challenge. The developer tested the same prompt across five AI systems — Codex, ChatGPT, Claude Code, Cowork, and Gemini — to compare how each understood their working style. They emphasize the method applies to personal and portfolio projects, and acknowledge some practices would be adjusted in production or enterprise environments.

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