The AI SDLC Manifesto — disciplined engineering for the AI era.

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

Community Platform Developed 100% with AI Agents, Agentic and AI SDLC

AI-driven SDLC harness for Claude Code — multi-agent TDD workflow (plan → tests → code → review → PR) with Azure DevOps, Jira, GitHub, GitLab, Zoho, and local-markdown providers. Language-agnostic, discovery-driven.

Engineer-grade Kiro IDE workspaces. One command. Curated presets for frontend, backend, fullstack, mobile, devops, and data-ai with agents, skills, commands, hooks, workflows, and spec-driven AI-SDLC scaffolding.

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

AI-SDLC framework of skills, rules, and agent definitions that AI coding agents use to generate consistent, production-quality Python code. Compatible with Claude Code, Codex, Cursor, Kiro, Windsurf, Gemini CLI, Antigravity, and GitHub Copilot.

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

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

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.

Code, instructions, and workflows from the AI SDLC blog series at dczerwinski.pl

The missing orchestrator for AI-native engineering

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

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

Phase-based flow controller for AI coding agents — strict phases, human approval gates, file-based resumable state, and exact work contracts per phase.

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

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

Claude Code Plugins for the KubeRocketCI Platform

AI-native SDLC framework for regulated industries. 8 phase-gated stages, 9 specialized agents, built-in HIPAA / SOC 2 / PCI / GDPR scanners. Plugs into Claude Code via MCP (30+ tools). MIT, self-hostable. pip install octalume.

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