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New framework enables LLM agents to autonomously develop and improve software

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced Harness-of-Harness (HoH), a framework designed to enhance autonomous software development by enabling LLM-based coding agents to continually improve software. HoH structures development into iterative planning-coding-testing loops, balancing repair with capability growth and breaking down tasks into small, verifiable increments. When tested on benchmarks like GameCraft-Bench, FrontierSWE, and ProgramBench, HoH demonstrated significant performance gains, averaging a 52.25% relative improvement over standalone harnesses. In a multi-day deployment, HoH autonomously developed a complete first-person-shooter game. AI

IMPACT This framework could significantly accelerate the development of complex software systems by LLM agents, reducing the need for human intervention.

RANK_REASON The cluster contains a research paper detailing a new framework for autonomous software development.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework enables LLM agents to autonomously develop and improve software

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Haoyang Yan, Min-le Su, Hangfan Zhang, Zhanhao Li, Chen Zhang, Shao Zhang, Yang Chen, Lei Bai, Shuyue Hu ·

    Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement

    arXiv:2609.01481v1 Announce Type: new Abstract: This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirements into complete, functional, and usable software systems without human intervention. We introduce Harness-of-Harnes…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement

    Harness-of-Harness enables autonomous coding agents to iteratively improve software through structured planning-coding-testing loops, yielding substantial performance gains and fully developed applications.

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