Harness engineering is not dead: why AI scaffolding is getting more specialized, not obsolete
omarsar0 · x · 2026-10-20
Elvis Omarsar pushes back on the "harness engineering is dead" claim, calling it ragebait driven by poorly designed papers on benchmaxxed SWE benchmarks. Key points:
- Models are absorbing some harness capabilities in SWE, but a stable, minimal harness is still needed for reliable, affordable quality.
- SWE itself is evolving — teams now need specialized harnesses for code review, cybersecurity, and complex environments like multi-agent systems and sandboxes.
- Harnesses aren't just prompts: they cover guardrails, authorization, coordination, memory, infra, efficiency and costs — much of it proprietary per domain, not something models can just "know."
- Domain-specific harnesses are proliferating beyond SWE; proactive personal agents (Muse, Grok Bot, dots, Instinct) rely on complex harness engineering that will only get more specialized.
Related event: Omarsar Pushes Back on "Harness Engineering Is Dead"(2 posts)→
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