arXiv:2606.10106v1 Announce Type: cross Abstract: The term agent harness now circulates widely in software engineering with generative artificial intelligence. It names the layer that wraps a language model and turns it into a coding agent able to act on a repository. The usage is loose and polysemous. Sometimes the term denotes the whole product (Claude Code, Codex CLI); sometimes it denotes the evaluation scaffold that runs an agent against tasks (the SWE-bench harness); sometimes it gets conflated with an agent framework, an SDK, an IDE plugin, or an orchestrator. What is missing is a refer
The rapid proliferation of agentic AI systems in software engineering necessitates clearer definitions to enable standardization, robust development, and effective evaluation.
Precise terminology for AI agent components is crucial for fostering consistent research, development, and interoperability within the rapidly expanding field of generative AI and autonomous systems.
The discussion around 'agent harness' is becoming more formalized, moving from loose usage to an attempt at defining its necessary and sufficient conditions, which will clarify development pathways.
- · AI agent framework developers
- · Software engineering teams using AI
- · Academic researchers in AI/software engineering
- · Companies with undefined internal AI agent methodologies
- · Projects lacking clear architectural boundaries for AI components
Standardization of the 'agent harness' definition will lead to more robust and interoperable AI coding agents.
Improved definition and tooling will accelerate the development and deployment of complex autonomous software development systems.
The clearer architectural understanding could eventually contribute to the formal verification and ethical oversight of AI agents in critical software infrastructure.
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