{"repo":"Varietyz/Disciplined-AI-Software-Development","free":true,"listed":false,"github":"https://github.com/Varietyz/Disciplined-AI-Software-Development","clone":"git clone https://github.com/Varietyz/Disciplined-AI-Software-Development.git","description":"A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.","language":"Python","stars":404,"topics":["ai-assisted-development","ai-governance","claude-code","llm-governance","pag","prompt-engineering","software-architecture","software-methodology"],"license":"CC-BY-SA-4.0","category":"workflow-automation","readme_excerpt":"Disciplined AI Software Development Methodology © 2025 by Jay Baleine is licensed under CC BY-SA 4.0 --- 📘 Using CLI-based AI models? (Claude Code, Cursor, Windsurf, etc.) This documentation covers web browser AI collaboration. For CLI agents with tool access, PAG (Pattern Abstract Grammar) is an AI first language with explicit validation gates, phase sequencing, and constraint enforcement designed for agentic workflows. PAG expands on this methodology with formal grammar, tool invocation patterns, orchestration templates, and algorithm loop documentation. Visit banes-lab.com/pag for the complete specification. PAG Documents: PAG-COLLABORATION.md PAG-AGENT-ORCHESTRATION.md --- 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, context dilution, and behavioral inconsistency through systematic constraints and behavioral enforcement. 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 - Behavioral pattern degradation across extended sessions - More debugging time than planning time How This Works The methodology uses four stages with systematic constraints, behavioral consistency enforcemen","default_branch":null,"files":null,"tree":[],"storefront":"/r/Varietyz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Varietyz/Disciplined-AI-Software-Development/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}