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A Software Development Methodology for Disciplined LLM Collaboration

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Disciplined AI Software Development - Collaborative

A structured approach for working with AI on development projects. This methodology addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints.

The Context Problem

AI systems work on Question → Answer patterns. When you ask for broad, multi-faceted implementations, you typically get:

Functions that work but lack structure

Repeated code across components

Architectural inconsistency over sessions

Context dilution causing output drift

More debugging time than planning time

How This Works

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