Issue-driven lifecycle governance for AI-native teams. One command bootstraps traceability, agent-agnostic dispatch, and PR merge gates across any GitHub repo.

The HUG AI methodology, framework, or playbook (call it what you will!), is a structured, agent-driven methodology that integrates specialized AI agents into each phase of the software development lifecycle

High-performance multi-model orchestration layer powering agent workflows, LLM routing, and enterprise-scale automation.

The official architecture and reference implementation for the SprintLoop Enterprise OS — an AI-native SDLC and agentic development framework for enterprise teams.

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

Documentation hub for SprintLoop: architecture, SDK guides, agents, workflows, and governance.

Reusable agentic workflows and multi-stage orchestration pipelines for the SprintLoop Enterprise OS.

Welcome to the Human-Governed AI (HUG AI) Development Methodology. This framework is designed to integrate AI-driven assistance into software development practices, empowering teams to maintain human oversight while leveraging the productivity and consistency benefits of AI.

Official SprintLoop agent framework featuring reusable templates, multi-model orchestration, and enterprise-grade agent patterns.

🚀 Enhance workflows with a high-performance orchestration engine for routing tasks across LLMs, SLMs, and custom agents efficiently.