AI-Driven Development Lifecycle (AI-DLC): From AI-Assisted to AI-Native Software Delivery

Most teams using AI in development see only 10-15% productivity gains. The problem isn’t the tools - it’s that AI is bolted onto existing workflows rather than placed at the center of the development process. The AI-Driven Development Lifecycle (AI-DLC) is a methodology built by AWS that reimagines software engineering by positioning AI as the orchestrator: planning, decomposing tasks, generating code, and validating outcomes, while humans focus on intent, oversight, and high-stakes decisions. In this session, we’ll explore why current approaches (fully AI-managed and AI-assisted) fall short, how AI-DLC’s three phases: inception, construction, and operation - deliver a paradigm leap in productivity, and how AWS Professional Services operationalizes this using AI-native IDEs, MCP servers, and Amazon Bedrock AgentCore. Through real customer examples where teams went from business intent to production-ready systems in days instead of months, you’ll see how to structure your own teams for AI-native delivery at scale.