Varietyz/Disciplined-AI-Software-Development
This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.
Implements a four-stage collaborative framework using behavioral persona plugins (JSON-based) and systematic constraints—150-line file limits, dependency-gated phases, and validation checkpoints—to maintain architectural consistency across extended AI sessions. Provides dual instruction formats: prose-based Markdown/XML for web interfaces and PAG (Pattern Abstract Grammar) for CLI agents, with benchmarking integrated early to drive optimization decisions from measured performance data rather than assumptions. Demonstrated across production systems like Discord bots, language runtimes, and CI/CD tools, all maintaining modular boundaries and measurable completion criteria.
394 stars.
Stars
394
Forks
30
Language
Python
License
CC-BY-SA-4.0
Category
Last pushed
Dec 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/Varietyz/Disciplined-AI-Software-Development"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asklokesh/loki-mode
Multi-agent provider agnostic Autonomous system & framework that WORKS..!
jmagly/aiwg
Cognitive architecture for AI-augmented software development. Specialized agents, structured...
ShunsukeHayashi/Miyabi
🤖 First open-source, economically-governed, beginner-friendly autonomous development framework...
GaiaNet-AI/docs
The official documentation of Gaia. Learn how to run nodes, deploy nodes to domains, find...
GaiaNet-AI/node-configs
Find node configurations to easily setup your Gaia nodes on your machine with open source models...