Clean Coder AI
Basic Information
Clean-Coder-AI is presented as a 2-in-1 AI Developer and Project Manager that uses autonomous agents to plan and execute software projects. The repository focuses on having AI agents break down an entire project into tasks and record those tasks in Todoist, then proceed to implement the project by working through the task list one task at a time. The core purpose is end-to-end automation of project planning and incremental coding, combining project management and development activity into a single workflow. The project targets people who want to automate the transition from high-level project planning to concrete code tasks, using agent-driven orchestration to keep planning and implementation aligned.
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Github Repository
App Details
Features
The README and description indicate several core features without deep implementation detail. The system uses AI agents with dual roles: one that plans projects and creates structured tasks in Todoist, and another that implements code by completing tasks sequentially. It supports an iterative task-by-task coding workflow tied to a Todoist task list, enabling traceable project breakdown and execution. The repo emphasizes integration with Todoist for task management and highlights a combined project manager plus developer agent approach rather than a standalone tool for only planning or only coding.
Use Cases
Clean-Coder-AI is helpful by automating manual coordination between planning and development. It converts a project concept into a Todoist task list so plans are recorded in a familiar task-management environment, then drives code production by working through those tasks systematically. This reduces friction between project scoping and implementation, helps maintain a clear task-oriented development flow, and can speed prototyping by keeping planning and coding in a continuous loop. The combined agent roles aim to keep project goals aligned with delivered code and reduce the overhead of manual task creation and handoff.
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