Functional programming accellerates agentic feature development
2 days ago
- #functional programming
- #AI agents
- #software architecture
- AI agents frequently fail in production due to hidden dependencies and side effects in codebases, not model limitations.
- Functional programming principles from the 1980s provide a solution: referential transparency and explicit data flow.
- SUPER acronym outlines five constraints for agent-friendly code: Side Effects at the Edge, Uncoupled Logic, Pure & Total Functions, Explicit Data Flow, and Replaceable by Value.
- SPIRALS is a seven-step process (Sense, Plan, Inquire, Refine, Act, Learn, Scan) for structured human-agent collaboration.
- Together, SUPER and SPIRALS improve agent success rates by making code deterministic and workflows disciplined, reducing debugging time.