v0.0.1 • In Peer Review

Appendix

Supporting materials and resources for the LocalM™ AiD framework.

PURPOSE Supporting Materials
CONTENT Research, History, Resources
Resource Description
About LocalM™ AiD Framework overview and purpose
Research Sources Full research bibliography
How to Contribute Community contribution guide
Implementation Guides Practical implementation help

Research Foundation

The LocalM™ AiD framework synthesizes insights from peer-reviewed research, industry practitioners, and emerging standards.

Primary Academic Sources

Source Contribution
AI4SE Taxonomy Systematic AI classification in SE lifecycle
Metacognitive Framework AI education and critical evaluation
Ten Simple Rules Evidence-based coding guidelines

Primary Industry Sources

Source Contribution
V-Bounce Model AI-native SDLC methodology
Single Conversation Session management patterns
Security Guidelines Security rules for AI agents

Standards Referenced

Standard Relevance
AGENTS.md Agent capability declaration
Model Context Protocol AI-tool integration
TOGAF EA principle structure

➡️ See Research Sources for complete bibliography.

Framework History

Version Date Status Changes
0.0.1 2025-01-27 In Peer Review Initial framework release for community feedback

Glossary

Term Definition
AI Agent An AI system that can take actions autonomously
Agentic Development Development where AI takes autonomous actions
Context Engineering Optimizing information provided to AI
Human Agency Human maintains control over AI actions
Maturity Level Stage of organizational AI adoption capability
Permission Boundary Defined limits on what AI can access
Sandboxing Isolating AI execution environments
Vibe Coding Unstructured, ad-hoc AI-assisted coding