This repository contains the **official Standard Operating Procedures (SOPs)** for the **AI-SDLC Institute**, governing **AI model compliance, risk assessment, and governance workflows**.

Community SDLC methodology — governance playbook for AI-assisted development (MIT)

Open-Source AI Governance Frameworks & Compliance SOPs for responsible AI development, risk mitigation, and ethical oversight. Ensuring trust, transparency, and accountability in AI systems.

AI practice governance framework for software development teams. Four-layer architecture (Foundation/Standards/Guidance/Reference) derived from AI-Native SDLC v3.1. 30 hard gates, 85 checklist items, 4 skill playbooks, 3 assessment tools.

Git repository for service ai-sdlc-governance-frontend

No description available

Git repository for service ai-sdlc-governance-api

🚀 AI-SDLC Institute – The Future of AI Governance, Trust & Compliance AI-SDLC is a modular framework for AI governance, risk, and compliance. It includes Governance SOPs, AI Trust Ledger, Incident Database, Compliance APIs, and Automated Audits to ensure safe AI deployment.

SDLC Orchestrator v2 — Operating System for Software 3.0. AI Code Governance Platform built on SDLC Framework 6.2.0.

AI Agents Reference Hub - Production patterns, architecture, and learning curriculum with space_framework SDLC governance

AI-native SDLC built for agentic engineering teams, integrating governance, versioning, and multi-model orchestration into a unified workflow layer.

🚀 Comprehensive strategy for Engineering Leaders to build resilient, high-traffic systems. Covers Shift-Left/Right, Human-Intuition testing, AI Governance in SDLC, and Customer Success-aligned quality gates.

Operating System for Software 3.0 - Control plane that governs AI coders (Cursor, Claude Code, Copilot) with SDLC 6.0.3 governance, Design Thinking validation, IR-based codegen, and multi-provider AI. Built on battle-tested OSS (OPA, MinIO, PostgreSQL).

This book helps IT leaders understand why AI tools often fall short of expected productivity gains in software development and offers practical solutions to close that gap. It covers adoption challenges, integration with SDLC and DevOps workflows, governance practices, and change management.

Sentinel IGA is a multi-agent orchestrator that secures the AI-driven SDLC. Using LangGraph and MCP, it moves beyond linting to enforce Identity Governance. By indexing repos into a "Knowledge Brain," it detects "Entitlement Creep" and SoD violations in real-time, providing a binary merge verdict. It’s the gatekeeper for the AI factory.