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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-17
DOI
https://doi.org/10.5281/zenodo.17979540
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 19%
AI-based Problem Solving and Planning
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Autonomy in Three Files: Transforming AI-Powered IDEs into Self-Directing Agent Platforms · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS