Engineer Argues Abstractions Hurt AI Agents: 95% of Cases Better Raw
zack_overflow · x · 2026-10-10
Engineer zackoverflow argues that 99% of software abstractions are designed to prevent human error and obscure an agent's mental model of the system — making them harmful for agents. He cites an inference engineering prompt: LLMs default to writing Terraform/Helm slop that delays deploys, so just tell your agent 'only use ssh, aws cli, and kubectl. no code.' In his experience 95% of the time skipping abstractions pays off.
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