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This research challenges the necessity of complex, high-overhead agent architectures by demonstrating that coding agents operating directly within terminals and filesystems can effectively automate diverse enterprise tasks at a fraction of the cost. The study suggests that simple programmatic interfaces paired with strong foundation models are sufficient for meaningful autonomy in real-world systems, offering a pragmatic alternative to current abstraction-heavy approaches like MCP or GUI-based web agents.
Sources coveringarXiv, Latent Space
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Terminal Agents Suffice for Enterprise Automation

arXiv2 min read

arXiv:2604.00073v3 Announce Type: replace-cross Abstract: There has been growing interest in building agents that can interact with digital platforms to execute meaningful enterprise tasks autonomously. Among the approaches explored are tool-augmented agents built on abstractions such as Model Context Protocol (MCP) and web agents that operate through graphical interfaces. Yet, it remains unclear whether such complex agentic systems are necessary given their cost and operational overhead. We argue that a coding agent equipped only with a terminal and a filesystem can solve many enterprise tasks more effectively by interacting directly with platform APIs. We evaluate this hypothesis across diverse real-world systems and show that these low-level terminal agents match or outperform more complex agent architectures at a fraction of the cost. Our findings suggest that simple, flexible programmatic interfaces combined with strong foundation models should be the backbone of enterprise automation.

Abstract:There has been growing interest in building agents that can interact with digital platforms to execute meaningful enterprise tasks autonomously. Among the approaches explored are tool-augmented agents built on abstractions such as Model Context Protocol (MCP) and web agents that operate through graphical interfaces. Yet, it remains unclear whether such complex agentic systems are necessary given their cost and operational overhead. We argue that a coding agent equipped only with a terminal and a filesystem can solve many enterprise tasks more effectively by interacting directly with platform APIs. We evaluate this hypothesis across diverse real-world systems and show that these low-level terminal agents match or outperform more complex agent architectures at a fraction of the cost. Our findings suggest that simple, flexible programmatic interfaces combined with strong foundation models should be the backbone of enterprise automation.

Pre-print. Under review. 51 pages, 6 figures, 21 tables

Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

arXiv:2604.00073 [cs.SE]

(or arXiv:2604.00073v3 [cs.SE] for this version)

https://doi.org/10.48550/arXiv.2604.00073 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 244 words

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