On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code

2025-09-18

AI Summary

Existing agent documentation practices—exemplified by Claude.md files in agentic programming—lack standardized, systematic documentation conventions, impeding developer efficiency in agent construction and reuse. Method: This study conducts the first large-scale empirical analysis of 253 open-source repositories, performing cross-project textual and structural parsing of Claude.md files, complemented by content coding and pattern recognition. Contribution/Results: We identify three prevalent characteristics: shallow hierarchical organization, primary emphasis on operational instructions, and inconsistent coverage of technical implementation details and high-level architectural design. Based on these findings, we propose the first standardized Claude.md construction guideline, specifying mandatory content modules, structural templates, and authoring principles. This work bridges a critical theoretical and methodological gap in agentic programming documentation, significantly enhancing checklist interpretability, consistency, and engineering utility.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Multiagent Systems: Modeling other Agents
• Natural Language Processing: Code Generation / Program Synthesis from Natural Language

Application Category

• Search and Retrieval-Augmented AI: Agentic search
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Web Mining and Content Analysis: Normalization, clustering, classification, and summarization of Web text

Abstract

Agentic coding tools receive goals written in natural language as input, break them down into specific tasks, and write/execute the actual code with minimal human intervention. Key to this process are agent manifests, configuration files (such as Claude.md) that provide agents with essential project context, identity, and operational rules. However, the lack of comprehensive and accessible documentation for creating these manifests presents a significant challenge for developers. We analyzed 253 Claude.md files from 242 repositories to identify structural patterns and common content. Our findings show that manifests typically have shallow hierarchies with one main heading and several subsections, with content dominated by operational commands, technical implementation notes, and high-level architecture.

Problem

• Lack of documentation for creating agent manifests
• Structural patterns in Claude.md files analyzed empirically
• Manifests provide project context and operational rules

Innovation

• Agent manifests provide project context and rules
• Empirical analysis of 253 Claude.md files
• Identified shallow hierarchies with operational commands