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.

SENAR — Supervised Engineering & Normative AI Regulation. Open methodology for human-AI collaborative software development. 15 rules, 5 quality gates, 10 metrics. v1.3

Vision-Driven Development / Release-Driven Development framework for AI-autonomous software development with enforced guardrails.

Una aplicación interactiva para visualizar y trabajar con los parámetros del modelo Boehm-Turner.

Software Methodology Project 2

You lead. Agents hunt. Cognitive + methodological harness for AI-assisted software — 139 skills across 7 companion packs + composition layer. Cross-tool (Claude Code, Cursor, Codex, Gemini CLI).

PABCD Initiative: capability-responsive harness for AI coding agents. Plan-Audit-Build-Check-Done FSM + 13 dev skills + arXiv-grounded methodology.

Reconciled Spec-Driven Development — a reasoning cascade that keeps spec and code aligned. Extends github/spec-kit with the artifact↔code reconciliation arc.

This repository contains the whitepaper "Trained Monkeys: A Methodology for AI-Orchestrated Software Development," a formal, descriptive technical report for practitioners. The paper presents a three-stage AI orchestration pipeline (planner -> decomposer -> supervisor) and argues four core properties grounded in the skill definitions.

Overview of Software Development Life Cycle (SDLC) models and methodologies, including traditional and modern approaches with diagrams and presentation material (Software Quality & Reliability, UNIWA).

Portable Spec Kit — A lightweight, zero-install specification-driven development framework for AI-assisted engineering.