Evolving coding-agent harnesses with evidence
A paper published on April 29, 2026 presents a framework for improving coding-agent harnesses. On Terminal-Bench 2, pass@1 rose from 69.7% to 77.0% over ten iterations.
Source: Agentic Harness Engineering para coding agents (arxiv.org). Text prepared with AI from this source.
What happened and what to do
The paper, published on April 29, 2026, presents a framework for automatically evolving coding-agent harnesses. Its approach uses observable components, condensed trajectory evidence, and decisions tested against task results. On Terminal-Bench 2, pass@1 increased from 69.7% to 77.0% over ten iterations. The method also makes harness changes easier to evaluate, attribute, and revert.
A company can apply this approach by building a controlled cycle for its coding agents: record runs and outcomes, test changes against representative tasks, and keep a history to compare, attribute, or revert each change. Wendelmaques can help structure collection and evaluation, then implement dashboards and automation to monitor performance and support deployment decisions.
How the consultancy can help
Wendelmaques can assess how coding agents and their harnesses are evaluated, define an implementation scope, and deliver execution pipelines, comparative tests, change history, and operational monitoring.
Next step
Send a short description of your coding agents and evaluation challenge; Wendelmaques will prepare a scoped proposal for diagnosis and implementation.
Let's assess your project
I reply with scope and a proposal.