harness lab

A self-tuning agent harness that uses AI to optimize token usage and reduce billing.

Description

A 'research AI' loop that autonomously audits agent execution traces to find wasted tokens and proposes optimization fixes. In benchmarks on EdgeBench, it reduced the bill for NVIDIA's coding agent by 50% compared to Codex by implementing four key architectural optimizations: subtask compaction, edit+test call merging, cheap-model log reading, and tool-output deduplication.

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Details

Why this is interesting: A novel meta-agent approach where one AI optimizes the architectural harness of another to drastically cut production…
Attributed to: @0xbobaaa
Built with: GPT-6.1 Sol GPT-6 Astra Opus 5 Codex
Tags: #optimization #coding-agent #token-saving

Discovered: X
First posted: X · Oct 4, 2026
Listed: Added 2h ago
Build: Strong
Models: Strong

harness lab

Description

How it grew

harness lab

Description

How it grew