The Human in the Loop Doesn't Scale. I Kept Him Anyway.

Short summary

A solo builder reflects on keeping himself as the final reviewer for an autonomous coding agent (ForgeFlow). Human-in-the-loop systems don't scale if the human is a bottleneck; the design question becomes which high-stakes decisions warrant the limited human attention budget. Batching decisions, defaulting to safe automation, and reserving review for irreversible or ambiguous calls keeps oversight genuine rather than rubber-stamping.

• •Human-in-the-loop systems carry hidden costs: attention load, latency, and a fixed decision budget that doesn't scale with the machine
• •The honest design question: which decisions are worth spending limited human hours on (irreversible, ambiguous) vs. which should default to safe automation with logging
• •Batching reviews and budgeting human capacity prevents the system from silently degrading from genuine oversight to rubber-stamped approvals

Generated with AI, which can make mistakes.