Joint harness search balances model accuracy, safety, and token use

Across 17 domains and 12 models, jointly optimizing the code around language models outperformed sequential and accuracy-only approaches.

Big Tech
Subhojyoti Mukherjee · Md Mehrab Tanjim

Adobe Research

Research Digest··2 min read
Mukherjee and Tanjim treat an LLM harness, the code that builds prompts, routes calls, and parses responses, as a multi-objective optimization problem.

The authors built Meta-Harness, an automated system in which Claude Code proposes and revises domain-specific Python harnesses using previous source code, execution traces, and scoring artifacts.

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