Infinite Agentic Loop POC

Watch the Tutorial: Infinite Agentic Loop with Claude Code

An experimental project demonstrating Infinite Agentic Loop patterns using Claude Code - now with Web-Enhanced Progressive Learning!

Overview

This project provides two powerful slash commands for orchestrating multiple AI agents in parallel:

1. /project:infinite - Original loop for generating evolving iterations based on specifications
2. /project:infinite-web - NEW! Web-enhanced loop where each iteration learns from web resources

What's New: Web-Enhanced Learning

The new /project:infinite-web command creates a self-improving knowledge loop where:

• Each iteration fetches and learns from a different web URL
• Knowledge progressively accumulates across iterations
• Agents apply learnings from documentation, tutorials, and examples
• Output quality improves as the system learns more sophisticated techniques

Usage

Read .claude/settings.json to see the permissions and commands allowed.

Start Claude Code: claude

Type slash command /project:infinite to start the infinite agentic loop.

The infinite command takes three arguments:

/project:infinite <spec_file> <output_dir> <count>

4 Command Variants

1. Single Generation

/project:infinite specs/invent_new_ui_v3.md src 1

Generate one new iteration using the UI specification.

2. Small Batch (5 iterations)

/project:infinite specs/invent_new_ui_v3.md src_new 5

Deploy 5 parallel agents to generate 5 unique iterations simultaneously.

3. Large Batch (20 iterations)

/project:infinite specs/invent_new_ui_v3.md src_new 20

Generate 20 iterations in coordinated batches of 5 agents for optimal resource management.

4. Infinite Mode

/project:infinite specs/invent_new_ui_v3.md infinite_src_new/ infinite

Continuous generation in waves until context limits are reached, with progressive sophistication.

Web-Enhanced Command (NEW!)

D3 Data Visualization Example

Generate progressively sophisticated D3 visualizations with web-based learning:

# Single visualization with web learning
/project:infinite-web specs/d3_visualization_progressive.md d3_output 1

# Batch of 5 with different web sources
/project:infinite-web specs/d3_visualization_progressive.md d3_output 5

# Progressive learning (20 iterations)
/project:infinite-web specs/d3_visualization_progressive.md d3_output 20 specs/d3_url_strategy.json

# Infinite mode - continuous learning
/project:infinite-web specs/d3_visualization_progressive.md d3_output infinite specs/d3_url_strategy.json

How It Works:

1. Initial Priming: Fetches 3-5 foundational web resources to build knowledge base
2. Progressive URL Assignment: Each iteration gets a URL matched to its complexity level
3. Web Fetch & Learn: Agent fetches URL, extracts techniques, applies learnings
4. Generate & Document: Creates output demonstrating new technique, documents source
5. Accumulate Knowledge: Each iteration builds on previous learnings
6. Infinite Waves: Continues with progressive sophistication until context limits

See WEB_ENHANCED_GUIDE.md for complete documentation and how to create your own web-enhanced loops!

How the Original Loop Works

1. Specification Analysis: Reads and understands the spec file requirements
2. Directory Reconnaissance: Analyzes existing iterations to determine starting point
3. Parallel Coordination: Deploys Sub Agents with unique creative directions
4. Quality Assurance: Ensures each iteration is unique and spec-compliant
5. Wave Management: For infinite mode, manages successive waves of agents

Directions you can take to enhance this pattern

Original Loop Enhancements

• Apply this to a use case of your choice
• Build an MCP Server that enables reuse of the infinite agentic loop
• Get the .claude/commands/infinite.md into your ~/.claude/commands/ directory for global use
• Update .claude/commands/infinite.md to generate sets of files instead of a single file

Web-Enhanced Loop Possibilities

• React Components: Progressive React patterns from official docs, popular libraries, and best practices
• CSS Techniques: Master CSS animations, layouts, and effects through web tutorials
• Python Data Science: Learn pandas, matplotlib, seaborn through progressive web examples
• Machine Learning: Implement progressively complex ML models with paper and tutorial learnings
• API Development: Build REST/GraphQL APIs learning from official documentation
• Game Development: Create progressively complex games learning from web tutorials
• Any Domain: Create your own spec + URL strategy for any progressive learning goal

See WEB_ENHANCED_GUIDE.md for detailed instructions on creating your own web-enhanced loops!

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