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New paper details Coderlet harness for programming agents

A new paper introduces Coderlet, a compact harness design for programming agents that focuses on the interaction between a model and its environment. The design emphasizes how the harness structures context formation, model decision-making, environmental actions, and state continuation across requests. This approach aims to refine the agent's performance through continued bootstrapping and iterative improvements. AI

IMPACT This research could lead to more robust and adaptable programming agents by improving how models interact with their execution environments.

RANK_REASON The cluster contains a research paper detailing a new technical approach. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

New paper details Coderlet harness for programming agents

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mengfan Li ·

    From Prompt to Harness: Coderlet from Scratch

    arXiv:2608.09480v1 Announce Type: new Abstract: A model alone does not determine how a programming agent acts. What the model sees, how actions enter the environment, how feedback returns, and how one run affects the next all depend on how the harness is organized. Minimal exampl…