Looper.sh: yet another coding loop script (www.nibzard.com)

Looper.sh, a new coding loop script, has been developed to enhance deterministic, auditable workflows for AI coding. Built as a simple bash wrapper around OpenAI's Codex, Looper emphasizes structured task execution by iterating through a backlog of tasks, ensuring that each iteration is complete without multitasking. This method allows for traceability through JSON logging and requires a review pass that guarantees tasks are either completed or additional work is added, thereby promoting accountability throughout the coding process. The significance of Looper lies in its ability to streamline AI-assisted coding by minimizing user involvement in task orchestration while maintaining control over project outcomes. Unlike other complex orchestration systems that can overwhelm users, Looper balances autonomy with oversight, allowing developers to intervene as necessary without losing track of progress. By implementing a framework built on observable and measurable iterations, Looper proves that a focused approach—where the loop structure is paramount—can yield reliable results more effectively than merely deploying advanced models. Future iterations may include strategies for interleaving different AI models, further enhancing output quality and reliability in AI-driven development.