🧑‍💻 Set up and manage AI agent skills and configs for Cursor, Claude Code, Codex and more across multi-repo workspaces.

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

A reusable kit to run a Spec-Driven Development (SDD) workflow with GitHub Copilot in VS Code. It organizes the process into clear stages, with intermediate artifacts and human-in-the-loop checkpoints before implementation begins

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

Agentic workflow plugin for Claude Code with adversarial loop to ensure quality without intervention. Install as a plugin for an existing repo or clone repo and initialise for sandbox ai workflows.

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

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

Multi-agent LLM pipeline that automates the AI-TPM job search end-to-end — built entirely with Claude Code orchestrating 11 specialist AI subagent

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

Artifact-driven ML delivery framework based on CRISP-DM for structured and reproducible ML workflows

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.

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

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.