Stitch Loop

What Is This?

Overview

Stitch Loop is a skill that teaches AI agents how to iteratively construct websites using the Stitch design tool through an autonomous baton-passing loop pattern. Rather than generating a complete website in a single pass, the skill establishes a structured workflow where each iteration builds upon the previous one, allowing agents to progressively refine and expand a site with precision and consistency.

The core concept behind Stitch Loop is the baton-passing mechanism. Each agent iteration completes a defined unit of work, such as generating a page or component, then writes forward-facing instructions that the next iteration can pick up and continue from. This creates a self-sustaining build cycle that mirrors how experienced development teams hand off work across sprints or sessions.

This approach is particularly valuable when building multi-page websites or complex frontend projects that require coherent design decisions across many components. By maintaining a shared state through written instructions and generated files, the loop ensures that no context is lost between iterations and that the final output remains visually and structurally consistent.

Who Should Use This

• Frontend developers who want to automate repetitive page generation tasks using AI-assisted workflows
• Design engineers exploring autonomous agent patterns for building production-ready web interfaces
• Teams using Stitch as their primary design-to-code tool and looking to scale output without manual intervention
• AI workflow architects who are building multi-step agent pipelines for creative or technical deliverables
• Developers experimenting with iterative code generation patterns that require state persistence across agent runs
• Technical leads who want a reproducible, auditable process for generating site structures from design prompts

Why Use It?

Problems It Solves

• Manual page-by-page construction in Stitch is time-consuming and prone to inconsistency when design decisions are not carried forward between sessions
• Single-pass AI generation often produces incomplete or structurally incoherent multi-page sites because the agent lacks memory of prior decisions
• Coordinating frontend build tasks across multiple agent runs without a handoff protocol leads to duplicated work and conflicting outputs
• Developers lose context when returning to a partially built project, requiring significant review time before resuming work
• There is no standard pattern for chaining Stitch tool calls in a way that produces a coherent, growing website over time

Core Highlights

• Implements a baton-passing loop where each agent iteration reads prior instructions, executes its task, and writes updated instructions for the next run
• Integrates directly with Stitch tools for page generation, allowing agents to produce real design output at each step
• Uses file-based state management through Read and Write tools to persist context between iterations
• Supports Chrome-based preview and validation so agents can verify rendered output before passing the baton
• Enables autonomous operation with minimal human intervention once the initial prompt and structure are defined
• Produces modular, well-organized site files that are easy to inspect, modify, or extend manually
• Scales naturally from single-page prototypes to full multi-page websites without changing the underlying loop pattern

How to Use It?

Basic Usage

To start a Stitch Loop session, the agent reads an initial instruction file, calls the Stitch tool to generate a page, writes the output, and then appends updated instructions for the next iteration.

## Read the current loop state
Read("loop-state.md")

## Generate a page using Stitch
stitch:generate_page({ prompt: "Create a pricing page with three tiers", style: "minimal" })

## Write the generated page to the site directory
Write("site/pricing.html", generatedContent)

## Update the loop state for the next iteration
Write("loop-state.md", updatedInstructions)

Specific Scenarios

Scenario 1: Building a multi-page marketing site. An agent starts with a homepage, writes the output and a note indicating that the about page should follow the same color scheme, then the next iteration reads that note and generates the about page accordingly.

Scenario 2: Iterative component refinement. An agent generates a navigation component, previews it in Chrome, identifies a layout issue, and writes a correction note so the next iteration can regenerate with the fix applied.

Real-World Examples

A startup uses Stitch Loop to generate a five-page product site from a single design brief, with each agent run handling one page and passing typography and spacing decisions forward. A developer uses the loop to prototype a dashboard interface, letting each iteration add one new widget while preserving the existing layout context.

Important Notes

Requirements

• Access to Stitch tools with appropriate permissions for page generation and file output
• A writable file system for storing generated pages and the loop state document
• Chrome or a compatible browser tool available for rendering and validating generated output