Development¶
Table of Contents:
Contributing to TNH Scholar (Prototype Phase) - TNH Scholar is currently in rapid prototype phase, focusing on core functionality and basic usability. We welcome contributions that help validate and improve the prototype implementation.
TNH Scholar Design Principles - Architectural patterns, design philosophy, and system organization principles for TNH Scholar development.
Fine Tuning Strategy - Strategy outline and development plan for fine-tuning foundation models on Thich Nhat Hanh translations.
Git Workflow & Safety Guide - Safe git practices for TNH Scholar development to prevent data loss
Human-AI Software Engineering Principles - This document presents the Human-AI Software Engineering Principles, a comprehensive framework that builds upon established software engineering, architecture, and design principles from human-only teams and extends them to optimize collaboration between humans and AI agents. Central to this framework is the clear distinction between the Design Phase and the Coding Phase, each with distinct goals, modes, and workflows. It also addresses challenges such as context window limitations and maintaining alignment despite session resets. In addition to general principles, this framework incorporates concrete documentation and planning strategies designed to support long-term, sustainable human-AI collaboration.
Improvements / Initial structure - Initial high-level view of the TNH Scholar ecosystem.
Development Documentation - Landing page for contributor guides, design principles, and engineering practices for TNH Scholar.
Release Workflow - Automated release process for TNH Scholar with biweekly cadence during rapid prototyping.
TNH Scholar Style Guide - Code formatting, naming conventions, and Python standards for TNH Scholar development.
TNH Scholar System Design - High-level system design describing the cyclical AI processing architecture powering TNH Scholar.
Incident Reports - Table of contents for development/incident-reports
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