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Autonomy in Three Files: Transforming AI-Powered IDEs into Self-Directing Agent Platforms

Year: 2025

Type: article

Abstract: Modern AI-powered IDEs can read files, write files, run commands, and browse the web—all the capabilities an autonomous agent needs. This paper describes a minimalist protocol that uses three Markdown files (goal.md, how-to.md, path_way.md) to transform any file-capable IDE into a self-directing agent platform. The protocol maps to a cognitive architecture: goal.md serves as long-term goal memory, how-to.md as procedural knowledge, and path_way.md as working memory. The "Next Step" field in path_way.md becomes the instruction for the next iteration—implementing recursive meta-prompting without code. Tested with Cursor and Antigravity IDEs using Gemini and Claude series models.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17979539

Author: LUAN, XUAN

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7116100447

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