Prompt Engineering Is Solved—Prompt Management Isn’t

Loop engineering surpasses traditional prompt engineering by enabling AI agents to execute autonomous multi-step workflows via iterative cycles and self-correction. While prompt engineering optimizes individual inputs, prompt management remains a challenge. Production failures often occur during simple variable renames, highlighting the need for static analysis tools. These tools treat prompts as contracts to detect breaking changes before deployment, ensuring that AI systems remain stable as they transition from single prompts to complex, managed workflows.