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This repo contains AI-powered software development patterns showing how to integrate agentic AI in different stages of software development lifecycle using Kiro, Amazon Q Business and Amazon Bedrock. This collection of patterns demonstrates practical approaches for leveraging AWS's generative AI capabilities across the software dev
Advanced AI agent system for Kiro IDE - Create specialized agents, switch interaction modes (vibe/spec), and enhance development workflows with minimal cognitive overhead
Yet Another Spec-Driven Development Kit. Based on Kiro, uses a context-based prompt and internal management mechanisms. Dummy-proof installers for Gemini and Cursor.
⚡ The most complete Kiro IDE toolkit — 34 AI Agents, 32 Expert Hooks, 50 Skills, 22 Steering Rules & 44 MCP Integrations. From React to Rust, Spring to GraphQL — production-grade workflows, one install.
Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.
MCP server that enables your agents to use coding rules from any or your GitHub repository. Instead of workspace rules files, you can now prompt agents to access the your coding rules from any repository.
AI-assisted legacy application modernization methodology for Kiro IDE. Structured specs, steering files, and hooks that guide you from discovery interview through codebase analysis, architecture design, and phased implementation plan. Built for multi-app landscapes.
Framework AWS-first para Kiro que detecta tu tipo de proyecto, valida e instala herramientas, carga agentes y skills por perfil, y deja el entorno listo para trabajar — en segundos.