👋Intro to GDF

What is GDF?

This documentation introduces a human-centric development framework called the Generative Development Framework (GDF). The GDF consists of nineteen knowledge areas encompassing cognitive strategies, techniques, and patterns to facilitate more efficient use of generative technologies, with an emphasis on security, risk management, and ethical considerations.

The GDF is designed to be broadly applicable across different use cases and generative models. While examples are provided for specific contexts, the framework remains adaptable to various domains. Users are encouraged to customize the prompts and processes to meet their specific needs.

GDF is intended to be used selectively, with practitioners adopting only the knowledge areas and processes that are productive for their teams. Successful implementation of GDF should involve continuous evaluation and improvement, adjusting the framework to fit organizational needs and to reflect ongoing learning.

For new users and developers unfamiliar with generative technologies, it is highly recommended to read through the entire documentation to gain a comprehensive understanding of the concepts and associated terminology. For those with experience, the framework may be referenced on an as-needed basis.

Origins of GDF

The Generative Development Framework (GDF) has emerged from years of experience in various domains. With the rapid evolution of generative AI in recent months, these technologies have reshaped work processes, prompting new methodologies to effectively integrate AI-driven techniques. GDF represents a distillation of these learnings, documenting both effective and ineffective practices.

Leveraging generative AI has fundamentally altered how individuals engage with their work. It has provided opportunities to prioritize quality and innovation, reducing the need to manually perform repetitive tasks or spend excessive time troubleshooting or researching implementation details. Furthermore, the conversational nature of generative AI tools has facilitated a collaborative dynamic, enabling more engaging workflows and sparking more frequent “aha” moments through interactive dialogue rather than passive consumption of static content.

While the potential of these generative tools is exciting, successful implementation requires specific considerations to effectively manage and mitigate new risks introduced by generative technologies. By the end of this documentation, users should have gained the foundational knowledge needed to implement generative tools, manage associated risks, and leverage these technologies to enhance workflows.

Scope of GDF

The GDF aims to provide a comprehensive framework for understanding the integration of generative technologies across various organizational teams, with particular attention to managing onboarding processes for individuals, promoting effective use of generative tools, and addressing the associated risks. The framework is not limited to a specific field or development role but instead promotes a holistic view of generative technology adoption, emphasizing ethical considerations, secure implementation, and strategic onboarding processes that address the diverse needs of an enterprise.