"The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices within the platform. Recently, AWS made its AI-DLC workflow open-source, enabling developers to create software using this methodology."
"The AI-DLC workflow is the practical implementation of the AI-DLC methodology for executing software development tasks. As outlined in the AI-DLC Method Definition Paper, the workflow has three phases. These phases are Inception, Construction, and Operations. Inception involves planning and architecture. Construction focuses on design and implementation. Operations cover deployment and monitoring. Each phase includes distinct stages. These stages address specific software development life cycle functions."
AI-DLC delegates routine development tasks to AI while preserving human oversight and auditability. Amazon Q Developer is a generative AI coding assistant that supports the full software development lifecycle and offers Project Rules to customize practices. AWS open-sourced the AI-DLC workflow to enable developer adoption. The workflow has three phases — Inception, Construction, Operations — each with stages selected based on project analysis of requests, codebases, and complexity. The workflow asks clarifying questions, generates execution plans pending approval, and records decisions and actions in an audit trail. Simple bug fixes skip planning; complex features require requirements, architecture, and testing.
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