AI agents need deterministic control flow, not more prompts
Original: Agents need control flow, not more prompts
Why This Matters
Highlights fundamental reliability challenges in AI agent development
Developer argues that reliable AI agents for complex tasks require deterministic control flow encoded in software rather than elaborate prompt chains. Current prompting approaches lack predictability and fail to scale.
A developer argues that AI agents need deterministic software control flow instead of increasingly complex prompts. The post criticizes prompt-based approaches as non-deterministic and unreliable, comparing them to programming languages where statements are suggestions. The author advocates for deterministic scaffolds with explicit state transitions and validation checkpoints that treat LLMs as components rather than complete systems. They emphasize the need for aggressive error detection, noting that without programmatic verification, developers are left with three options: keeping humans in the loop, exhaustive post-run verification, or simply accepting potentially incorrect outputs.