How does it handle AI context window limits?

The skill includes a context check phase that detects when the AI is approaching its limit, triggering context compaction and session handoffs to ensure continuity.

What happens if a feature implementation fails its tests?

The autonomous loop includes an error recovery phase where it can attempt to fix the issue or rollback to a previous checkpoint using the checkpoint manager.

Is this skill suitable for Test-Driven Development (TDD)?

Absolutely. The feature loop is specifically designed to implement code via TDD and verify results through E2E tests before marking a feature as complete.

What is the primary purpose of the Autonomous Loop skill?

It serves as the main orchestration engine for Claude, allowing it to manage the end-to-end process of building software features, running tests, and handling multi-session workflows autonomously.

Can I control the cost of running autonomous sessions?

Yes, the skill uses a configuration layer where you can define token budgets and the maximum number of sessions allowed for a specific task.

Autonomous Coding Loop

Name: Autonomous Coding Loop
Author: adaptationio

byadaptationio

Productivity & Workflow

Orchestrates the end-to-end lifecycle of autonomous coding sessions by managing feature implementation, testing, and context transitions.

About

The Autonomous Coding Loop is a high-level orchestration skill designed to guide Claude through complex, multi-feature development tasks. It automates the entire software development lifecycle—from feature selection and Test-Driven Development (TDD) implementation to end-to-end testing and session handoffs—ensuring that large-scale projects progress steadily without manual intervention. By tracking token budgets and managing context limits, it provides a robust framework for building production-grade software autonomously while maintaining high code quality through automated verification and rollback mechanisms.

Key Features

Continuous feature implementation using a standardized TDD workflow
Automated end-to-end verification with built-in error recovery and rollbacks
Automatic context management and session handoffs for long-running tasks
Configurable token budgets and session limits to prevent runaway costs
Comprehensive session reporting including features completed and total tokens used
0 GitHub stars

Use Cases

Executing multi-session coding tasks that exceed standard context windows
Managing complex refactoring projects that require continuous verification and testing
Automating the implementation of an entire product roadmap from a feature list

About

Key Features

Continuous feature implementation using a standardized TDD workflow
Automated end-to-end verification with built-in error recovery and rollbacks
Automatic context management and session handoffs for long-running tasks
Configurable token budgets and session limits to prevent runaway costs
Comprehensive session reporting including features completed and total tokens used
0 GitHub stars

Use Cases

Executing multi-session coding tasks that exceed standard context windows
Managing complex refactoring projects that require continuous verification and testing
Automating the implementation of an entire product roadmap from a feature list