🧙‍AutoDev: the AI-native Multi-Agent development platform built on Kotlin Multiplatform, covering all 7 phases of SDLC.

A curated collection of Rules, Skills, and Agents for Java Enterprise development, designed to streamline modern SDLC workflows.

Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.

Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase. Bootstrap, Plan, & Ship.

Lab Walkthrough and Demo for the "Collaborating with agents in your software development workflow" workshop

Claude Code Agents and Skills for Flutter - SDLC - Software Development Lifecycle. Based on the https://docs.flutter.dev

A strategic guide for engineering leaders on integrating AI agents into the SDLC. Persian translation of OpenAI's "Building an AI-native engineering team

Ralph is a suite of autonomous agents that orchestrate Claude CLI for backlog-driven SDLC automation. Each agent acts as a specialized team member, picking up tasks from your backlog based on specific criteria.

An Agentic Skill System for Antigravity, transforming Spec-Driven Development into autonomous AI capabilities for the entire SDLC.

Declarative agentic framework for AI-driven software development. Define, validate, and orchestrate AI agents as code—transparent, auditable, and CI/CD-ready. Run your SDLC as Code today

Agent-Driven Software Development Lifecycle (AD-SDLC) system built with Claude Agent SDK

Demonstrate end to end Agentic SDLC on Microsoft stack, From a Teams meeting (WorkIQ) intent to automated implementation and then Azure deployment. Powered by GitHub Copilot SDK.

The Twelve-Factor Agentic SDLC

Setting up your SDLC using agentic engineering

Agentic engineering workflow based on the standard SDLC workflow.

SDLC Copilot is an Agentic AI system designed to streamline and automate the Software Development Lifecycle (SDLC). From requirement gathering to deployment and maintenance, SDLC Copilot leverages AI to optimize development workflows, reduce manual effort, and ensure software quality.

Community-driven Claude Code marketplace with specialized AI agents for the full SDLC. Features multi-agent coordination, workflow orchestration, and 100+ API integrations. Includes code review, security scanning, deployment automation, performance optimization, and more. Production-ready tools built by developers, for developers.

Bring engineering discipline to AI-assisted development!

Agentic SDLC library

Minimal agent orchestrator for AI coding — 8 SDLC roles, separation of duties, security hardening, multi-channel (MIT)

Install a full engineering team into your AI agent. 7 SDLC roles · 105+ skills · 18 areas — Claude Code, opencode, Cursor, Codex, kilocode, antigravity, Gemini.

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Automated SDLC Workflow using Agentic AI, LangGraph, and Human-in-the-Loop Interrupts

Intentional agentic developement: a structurally enforced SDLC pipeline for autonomous agents

ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.

Big Iron — AI-Native SDLC. Hermes Agent + Supermodel code graph, graph-gated at every phase.

A framework for building complex software with AI coding assistants. Specialized roles, explicit handoffs, living documentation — SDLC adapted for stateless agents.

For Agent-Oriented Automated SDLC

Agentic AI for SDLC — From requirements to traceable, validated test cases using multi-agent systems

The Agentic SDLC Handbook — dual-audience guide for C-suite and practitioners