ATLAS Framework

ATLAS - AI Tiered Levels for Agile Software - A structured approach for software development teams to determine the optimal level of AI assistance for their projects.

By evaluating specific project characteristics against defined criteria, teams can select the most appropriate development approach along the spectrum from traditional coding to AI-driven development.

Framework Overview

The ATLAS Framework defines 8 levels of AI integration in software development, ranging from fully manual coding to complete application generation from natural language prompts.

Key Framework Components

• AI Assistance Levels - Detailed descriptions of each level with selection criteria
• Decision Matrix - Factors to consider when selecting the appropriate level
• Implementation Strategy - A phased approach to adopting AI assistance
• Productivity vs. Control Tradeoffs - Understanding the balance between speed and oversight
• Migration Considerations - Guidelines for moving between different levels

Getting Started

To get started with the ATLAS Framework, navigate through the sections using the sidebar on the left. Begin by understanding the different AI Assistance Levels, then explore the Decision Matrix to help determine which level is most appropriate for your project.