AWS Labs推出了AI-DLC框架，旨在将AI编码助手转变为结构化、可验证的软件交付工作流系统1。该框架支持Claude Code、Kiro、Cursor、GitHub Copilot等多个平台的集成1，通过完整的阶段化管理覆盖从初始化到运维的全部开发生命周期。
框架采用33个步骤、14个代理的设计，其中包括11个领域专家代理、2个审阅者和1个自适应编排器1。系统提供119事件审计跟踪和持久化状态管理机制1，并内置11个工作流配置文件，覆盖功能开发、缺陷修复、基础设施、安全等常见工作场景1。框架推荐使用Claude Opus 4.8作为核心模型1，支持在macOS、Linux、WSL和Windows等多个操作系统环境中安装部署1。
AI-DLC is a framework designed to transform AI coding assistants into structured, verifiable software delivery workflows.1 The system integrates with multiple platforms including Claude Code, Kiro, Cursor, and GitHub Copilot.1 It manages the complete development lifecycle from initialization through operations using 33 stages, 14 agents, and 119 event audit trails.1
The framework organizes work across 5 phases supported by 14 specialized agents—11 domain experts, 2 reviewers, and 1 adaptive orchestrator.1 It provides 11 workflow configuration files covering common software engineering tasks such as feature development, bug fixes, infrastructure work, and security.1 The system maintains persistent state management and comprehensive audit logging throughout the development process.1
AI-DLC supports deployment across macOS, Linux, WSL, and Windows environments.1 The framework recommends using Claude Opus 4.8 as the underlying model.1
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