Overall Suite Version: 0.1.0 (Individual documents have their own versioning, see below)
Welcome to the AI Development Standards Initiative! This repository houses a collection of evolving documents aimed at fostering robust, high-quality, ethical, and efficient practices in AI-assisted software development. Our mission is to provide a clear, actionable, and comprehensive set of standards and frameworks for developers, project managers, and AI strategists navigating the transformative landscape of AI in technology.
To empower individuals and teams to harness the transformative potential of Artificial Intelligence in software development responsibly and effectively. We aim to achieve this by establishing and promoting standardized methodologies that enhance productivity, ensure quality, mitigate risks, and foster continuous learning and innovation in a collaborative human-AI environment.
This initiative currently comprises the following key documents:
-
Persona Definition:
Catalyst
- The Visionary AI Strategist & Lead IT Engineer/PM - v0.3.2- Authors: Philippe Sthely
- Date: [05/08/2025 - Philippe Sthely]
- Version: 0.3.2
- Defines an advanced AI assistant persona (
Catalyst
) optimized for strategic AI integration, IT engineering, project management, and adherence to the principles outlined in "The AI-Assisted Dev Bible." It serves as an example of structured AI interaction and persona-driven guidance.
-
The AI-Assisted Dev Bible: A Comprehensive Standardization Framework - v0.1.0
- Authors: Philippe Sthely
- Date: [05/08/2025 - Philippe Sthely]
- Version: 0.1.0
- A foundational document proposing a comprehensive set of standards for AI-assisted development. It covers prompt engineering, security protocols, testing methodologies, version control, documentation, ethical considerations, developer growth, workflow integration, measurement, and knowledge management.
-
Framework: Multi-Step AI-Assisted Workflow (MAIA-WF) - v1.2
- Authors: Philippe Sthely
- Date: [05/08/2025 - Philippe Sthely]
- Version: 1.2
- A practical framework for structuring complex tasks and projects through collaborative, iterative steps between a human user and an AI assistant. It promotes clarity, documentation, robust outcomes, and hierarchical task decomposition.
This initiative is for anyone involved in or interested in the intersection of AI and software development, including:
- Software Developers & Engineers
- Project Managers & Team Leads
- AI Strategists & Consultants
- Product Owners & Business Analysts
- Organizations adopting or scaling AI tools in their development lifecycle
- Researchers and educators in AI, software engineering, and human-computer interaction
- Import the documents to your LLM platform: Import as context, for example in Google AI Studio
- Study & Understand: Familiarize yourself with the principles, practices, and frameworks outlined.
- Adapt & Adopt: These are not rigid prescriptions but adaptable guidelines. Tailor them to your specific team, project, or organizational context.
- Implement Incrementally: Consider starting with one or two key areas (e.g., standardized prompting from the Dev Bible, or applying MAIA-WF to a small project) and expand your adoption gradually.
- Provide Feedback: These are living documents. Your insights, experiences, and contributions are crucial for their evolution and practical relevance.
While each document in this initiative offers standalone value, their true transformative potential is realized when used in concert:
- The
Catalyst
Persona (Link) provides a blueprint for an AI collaborator that embodies and enacts the principles of the Dev Bible. Adopting or adapting such a persona for your AI interactions can significantly enhance the quality and strategic alignment of AI contributions. - The
AI-Assisted Dev Bible
(Link) serves as the foundational rulebook and quality standard. It provides the "what" and "why" behind best practices in AI-assisted development. - The
MAIA-WF
Framework (Link) offers the "how" – a structured methodology for applying the Dev Bible's principles and leveraging aCatalyst
-like AI persona through complex projects, ensuring clarity, iterative refinement, and robust documentation.
Emulating the Set: By structuring your AI-assisted projects using the MAIA-WF
, grounding your practices in the AI-Assisted Dev Bible
, and interacting with your AI tools as if they were a strategic partner like Catalyst
, you can emulate the powerful, synergistic approach this suite is designed to foster. This holistic application aims to maximize efficiency, quality, and strategic value while mitigating risks inherent in AI development.
These documents represent the initial public release (Suite Version 0.1.0). They are expected to evolve based on community feedback, technological advancements in AI, and practical application in real-world projects. Future work may include:
- More detailed examples, templates, and case studies for each standard in the "Dev Bible."
- Reference implementations or tool-specific guidance.
- Expansion of topics, such as advanced MLOps integration or AI governance in practice.
- Development of training materials.
For a detailed history of changes, please see the CHANGELOG.md.
We warmly welcome and strongly encourage contributions from the community! Whether it's reporting an issue, suggesting an enhancement, fixing a typo, or proposing new content, your input is invaluable.
Please see our CONTRIBUTING.md for detailed guidelines on how to contribute.
To ensure a respectful, inclusive, and collaborative environment for everyone, all participants are expected to adhere to our CODE_OF_CONDUCT.md.
This work, encompassing all documents within this repository unless explicitly stated otherwise within a specific document, is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
These documents were authored by Philippe Sthely. The conceptualization and drafting process involved significant interaction with AI, leveraging the Catalyst
persona (defined herein) as a collaborative partner and sounding board. This project itself is an example of the AI-assisted development principles it advocates.
We believe that by working together and establishing clear, adaptable standards, we can collectively navigate the complexities of AI integration and unlock its full potential to build a better future for software development.