iterative-development

Refine code through automated test-driven development loops with completion criteria.

705|56|Updated Dec 26, 2025

Search Tags:#testing #tdd #refactoring #bug fixing #ai development #code iteration

Ready to run

npx skills add https://github.com/alinaqi/claude-bootstrap --skill iterative-development-alinaqi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: iterative-development
Source: https://github.com/alinaqi/claude-bootstrap/tree/main/skills/iterative-development
Command: npx skills add https://github.com/alinaqi/claude-bootstrap --skill iterative-development-alinaqi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates repetitive coding tasks by creating self-referential loops where the AI continuously refines code based on test feedback until all criteria are met, ensuring robust and well-tested solutions.

Core Features & Use Cases

TDD Workflow Enforcement: Guides AI to write failing tests first, then implement code to pass them.
Automated Refactoring: Safely refactors code while ensuring existing tests continue to pass.
Bug Fixing Loops: Identifies bug reproduction steps, writes a failing test, and fixes the bug.
Use Case: Develop a new API endpoint by defining requirements, writing tests, implementing the endpoint, and iterating until all tests pass and code is clean, all within an automated loop.

Quick Start

Use the iterative development skill to build a new feature by following the TDD workflow.

Frequently Asked Questions about iterative-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate bug fixing with test-driven development in an AI coding loop?▼

Automated bug fixing loops identify bug reproduction steps, write a failing test to reproduce the issue, and iteratively refine the code until the test passes and the bug is resolved.

What is the best way to refactor code while ensuring existing tests continue to pass?▼

Automated refactoring safely modifies existing code by running it through an iterative loop that continuously validates changes against your current test suite, ensuring all existing tests continue to pass.

How does iterative AI development enforce a TDD workflow?▼

Iterative AI development enforces TDD workflows by guiding the AI to write failing tests first, then implementing the required code, and continuously refining the implementation until all tests pass.

Can I use automated code iteration for developing new API endpoints from scratch?▼

Yes, you can develop new API endpoints by defining requirements, writing tests, implementing the endpoint, and running automated code iteration loops until all tests pass and the code is clean.

What happens when environment errors occur during automated test execution loops?▼

When environment errors occur during automated test execution loops, the iterative development process includes error classification and environment error reporting to halt code refinement and surface the setup issue.

Does iterative code refinement stop automatically once tests pass?▼

Yes, iterative code refinement stops automatically when defined completion criteria are met, specifically when all regression tests pass and the code successfully meets the predefined testing requirements.