Tencent Cloud Developer

Oct 22, 2026 · Artificial Intelligence

Why Swapping Models Fails: 11 Harness Engineering Pitfalls That Derail AI Agents

This article analyzes 11 critical misconceptions teams encounter when implementing Harness Engineering — the practice of constraining AI agents within structured runtime environments — covering cognitive errors like confusing Harness with advanced prompting, practical gaps such as missing observability and flawed self-evaluation, and organizational failures including neglecting human discipline and enterprise constraints, backed by benchmark data from OpenAI, LangChain, Anthropic, and MiniMax.