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Developer builds small Python coding agent, achieves 59.6% on Terminal-Bench 2.0

The developer of nano-harness, a coding agent built with approximately 970 lines of Python, has shared their experience and benchmark results. The agent achieved a 59.6% score on the Terminal-Bench 2.0 suite, utilizing Claude Opus-4.8. An independent review of the code by GPT-Sol-5.6 provided valuable feedback, contributing to the project's development. The project emphasizes a "score-per-line-of-code" philosophy, aiming for a small, readable harness that delivers meaningful benchmark numbers. AI

IMPACT Demonstrates a practical approach to building and evaluating coding agents with minimal code, potentially influencing future agent development.

RANK_REASON The item describes the creation and benchmarking of a specific AI agent/tool, not a frontier model release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds small Python coding agent, achieves 59.6% on Terminal-Bench 2.0

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The item describes the creation and benchmarking of a specific AI agent/tool, not a frontier model release or significant industry event.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Troy Lorents ·

    I built a coding agent in ~970 lines of Python and benchmarked it honestly

    <p><strong>TL;DR:</strong> I built <a href="https://github.com/TroyJLorents-GH/nano-harness" rel="noopener noreferrer">nano-harness</a> a coding agent in <strong>~970 non-blank lines of Python</strong> (5 files, 3 tools, 2 providers, MIT). It scored <strong>59.6% (53/89) on the f…