AI-Native SDLC Playbook

While the adoption of AI coding tools has dramatically accelerated code writing speed, the surrounding processes still operate at human-centric speeds. As a result, development bottlenecks have shifted from the code-writing stage to planning, review, and deployment stages, causing existing control mechanisms to diverge from reality.

Traditional SDLCs were designed for an era when code implementation was the most expensive phase. However, as agentic AI now generates most of the code, a comprehensive redesign of the entire process is required. In particular, security and policy reviews remain at human speed, failing to keep up with the output speed of agents.

Anthropic presents best practices for integrating Claude into each stage of the SDLC to accelerate development speed and streamline processes. This approach aims to build a structure where humans focus on core decision-making while agents handle repetitive and time-consuming tasks.