The Two-Gate Principle: Why Less Human Review Means Faster AI Development

Traditional approval hierarchies fail in agentic development because they waste human attention rather than save it. By reducing review gates from seven to two and structuring parallelism explicitly, this architecture demonstrates how to build SDLC pipelines where AI systems like Claude Code handle the heavy lifting while humans focus on decisions that actually matter—scope definition and final quality checkpoints.