Can I use Go Loop for unattended overnight coding?

Yes, the AFK mode is specifically designed for unattended development. It can handle up to 50 iterations by default using a fresh context for each task.

Does Go Loop require a specific file format?

Yes, it typically works with a structured prd.json file that defines stories, steps, and priority to ensure the AI follows a logical implementation path.

How does Go Loop manage development progress?

It uses a prd.json file as the single source of truth. It tracks story completion, logs progress, and manages state directly within the JSON, allowing for easy resumes.

What is the difference between HITL and AFK modes in Go Loop?

HITL (Human-In-The-Loop) runs within a single session for easier debugging, while AFK (Away From Keyboard) uses an external bash loop to start fresh sessions for each iteration, preventing context rot.

How does Go Loop ensure code quality?

It enforces a commitment protocol where the AI must declare completion criteria upfront and requires atomic commits and parallel reviews for every story.

Go Loop Autonomous Developer

Name: Go Loop Autonomous Developer
Author: SomtoUgeh

bySomtoUgeh

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Productivity & Workflow

Automates iterative task execution and PRD-driven feature implementation with supervised and fully autonomous coding modes.

About

Go Loop is a high-autonomy workflow skill designed for Claude Code that enables developers to execute complex product requirements (PRDs) through iterative, state-managed cycles. It offers two distinct operational modes: HITL (Human-In-The-Loop) for supervised debugging and interactive development, and AFK (Away From Keyboard) for hands-off, fresh-context batch execution. By using a single JSON file as the source of truth for progress and enforcing strict commitment protocols, Go Loop ensures that autonomous agents produce production-grade, tested code while preventing context rot over long development sessions.

Key Features

PRD-driven state management using a single JSON file for progress and logs
Mandatory commitment protocols to ensure quality and atomic git commits
Integration with Claude’s Task system for visibility and cross-session resumption
Fresh context cycling in AFK mode to prevent performance degradation during long runs
Dual execution modes: HITL for supervised iteration and AFK for autonomous development
1 GitHub stars

Use Cases

Supervising complex logic implementations through iterative, step-by-step verification
Implementing entire feature sets from a PRD while working overnight or AFK
Automating repetitive batch tasks like refactoring or building complex parsers

About

Key Features

PRD-driven state management using a single JSON file for progress and logs
Mandatory commitment protocols to ensure quality and atomic git commits
Integration with Claude’s Task system for visibility and cross-session resumption
Fresh context cycling in AFK mode to prevent performance degradation during long runs
Dual execution modes: HITL for supervised iteration and AFK for autonomous development
1 GitHub stars

Use Cases

Supervising complex logic implementations through iterative, step-by-step verification
Implementing entire feature sets from a PRD while working overnight or AFK
Automating repetitive batch tasks like refactoring or building complex parsers