Flexeegile is my proposed extension to the well-established Agile framework, it aims to address the unique challenges posed by AI & Data projects in today’s complex computing environments.

Flexeegile, much like Agile, recognizes the value of the items on the right but considers the items on the left to be of higher value.

Flexeegile is not a replacement for Agile, but rather an observation and adaptation of Agile principles to suit the modern era of computing. 

As one of the founders of the Agile Manifesto, puts it:

“Flexeegile is not replacing, but observing that the nature of computing is richer than it was in the era of Agile when it was about desktop computers. Agile is still as relevant as ever.”

Flexeegile recognizes that today’s computing landscape extends far beyond desktop applications, encompassing cloud computing, big data, machine and deep learning, and more. 

Flexeegile aims to be wide and interpretable, yet intentionally vague to remain future-proof as technology advances.

The name "Flexeegile" signifies the ability to interpret Agile methodologies in a flexible manner, in the context of AI.

Flexeegile is open to contributions on GitHub. Show your support by starring the repository!

- Dr. Ori Cohen

Uncertainty over Predictability [?]
Embracing the inherent unpredictability in complex AI & Data systems.

Data & Validation over Intuition & Belief [?]

Prioritizing evidence-based decision-making.

Simplicity & Clarity over Complexity & Noise [?]
Striving for clear, understandable solutions in a world of increasing complexity.