GHIssuemarket: A Sandbox Environment for SWE-Agents Economic Experimentation
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
Software engineering agents (swe-agents), as key innovations in intelligent software engineering, are poised in the industry's end-of-programming debate to transcend from assistance to primary roles. we argue the importance of swe-agents' economic viability to their transcendence -- defined as their capacity to maintain efficient operations in constrained environments -- and propose its exploration via software engineering economics experimentation.we introduce ghissuemarket sandbox, a controlled virtual environment for swe-agents' economic experimentation, simulating the environment of an envisioned peer-to-peer multiagent system for github issues outsourcing auctions. in this controlled setting, autonomous swe-agents auction and bid on github issues, leveraging real-time communication, a built-in retrieval-augmented generation (rag) interface for effective decision-making, and instant cryptocurrency micropayments. we open-source our software artifacts, discuss our sandbox engineering decisions, and advocate towards swe-agents' economic exploration -- an emerging field we intend to pursue under the term intelligent software engineering economics (isee).
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. First posted on arXiv 16 Dec 2024.
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