ai-sdlc

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

AI-automated SDLC pipeline with human-controlled quality gates, for Claude Code — spec before code, evidence before pass, a human sign-off at every stage transition. C#/.NET · Node.js · PHP/Laravel.

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

Set up a Kiro IDE workspace with one command. Pick a preset and the agents, skills, commands, hooks and MCP config get written into .kiro/ for you.

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

BYOA Agent orchestration that ensures alignment end-to-end – with built-in eval system.

JFrog MCP Server: providing your agents with direct access to JFrog Platform services.

Governed multi-agent SDLC pipeline for Claude Code and Qwen Code — plan → adversarial plan review → proven-red TDD → security scan → PR, with tamper-evident evidence at every step. Azure DevOps, Jira, GitHub, GitLab, Zoho, and local-markdown providers. Language-agnostic, discovery-driven.

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

Plan the work. Control the context. Ship with proof.

Spec-driven development (SDD) for AI coding assistants.

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

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.

A repository-native workflow for managing AI-assisted software delivery from initial intent through requirements, planning, implementation, verification, and handoff.

The missing orchestrator for AI-native engineering

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