Functional programming accellerates agentic feature development
Summary
The article argues that AI agents fail in production due to mutable state and hidden dependencies, and proposes functional programming as a fix. It introduces SUPER (five code principles) and SPIRALS (a seven-step process loop) to guide agent-friendly development, with cross-language examples and practical steps for applying these patterns to improve reliability and scalability.