[!] TOPIC ARCHIVE // #VERIFICATION
#Verification
All 8 guides, operator dossiers, and signals tagged with #Verification.
the bottleneck moved to verification
Agentic coding does not only make software faster to write. It makes judgment, test selection, and the ability to revise a plan the scarce part of the system.
science agents, human rooms, physical receipts
Terminal-Bench-Science scores research agents on real workflows; MIT and Salem Robotics both insist that tools still need accountable human and physical checks.
the cost of witnesses
OpenAI’s reported monitoring overhead, Mojo’s newly open compiler, and a clinical-trial DAG: three places where the process stops being decorative.
expertise, workbenches, verification
Claude Code data, OpenKnowledge, and two verification papers point at the same pressure: agents need domain judgment, shared work surfaces, and control layers that keep moving.
Agent Verification Loop
Seven checks to catch fake success before an agent writes, sends, deploys, deletes, or publishes. For coding and publishing agents.
Archon
open-source harness builder for AI coding. deterministic, repeatable, and unapologetically anti-vibes.
who reviews the agent's code?
agents write code 10x faster. nobody reviews it 10x faster. the bottleneck was never generation.
when your agent lies by omission: the silent fake success problem
agents optimize for 'looks done' over 'actually works' — and it's costing more debugging time than actual bugs