MCPFast / Tools / Patterns and tools for loop engineering with AI agents

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Patterns and tools for loop engineering with AI agents

This repo offers practical patterns, starters, and CLI tools for loop engineering with AI coding agents, inspired by Addy Osmani and Boris Cherny.

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Loop Engineering with AI Agents: Patterns and Tools

This repository provides a foundational set of patterns, starter projects, and command-line interface (CLI) tools designed to facilitate loop engineering with AI coding agents. Developed with inspiration from the work of Addy Osmani and Boris Cherny, this resource aims to streamline the development process for AI builders and engineers working with autonomous agents. By offering structured approaches and practical utilities, it simplifies the creation and management of complex AI agent workflows.

What it Does

The core function of this project is to offer concrete methodologies and ready-to-use components for building AI agents that operate in iterative loops. This includes defining agent behaviors, managing state within loops, and implementing feedback mechanisms. The provided CLI tools assist in scaffolding new projects, managing agent configurations, and potentially automating repetitive tasks associated with loop engineering. The goal is to move beyond theoretical concepts and provide tangible solutions for practical AI development.

Key Features

Who it's For

This resource is specifically tailored for AI developers , software engineers working with AI, and researchers focused on agent-based systems. If you are building AI agents that require iterative processing, self-correction, or continuous operation, these patterns and tools will be invaluable. It is particularly useful for those looking to implement more sophisticated AI workflows and manage the complexities of autonomous agent development efficiently.