Learning & Adaptation
Agile is more than a process, it's a continuous path of learning, refinement, and disciplined adaptation. These models offer guidance for how teams evolve their practices, understand when to follow versus change a framework, and navigate the messy realities of iteration and long-term software growth. By embracing these principles, Agile teams build resilience, improve decision-making over time, and adapt with intent rather than impulse.
Shu-Ha-Ri
Progressive learning model for Agile mastery.
Double-Loop Learning
Challenges underlying assumptions to drive deeper learning and transformation.
Chesterton's Fence
Follow Agile frameworks before modifying them.
OODA Loop
Adaptive learning cycle for navigating change and uncertainty.
Boyd's Law of Iteration
"The speed of iteration beats the quality of iteration."
Lehman's Laws of Software Evolution
Describes the inevitable growth, change, and complexity of long-lived software systems.
Wirth's Law
Software is getting slower more rapidly than hardware becomes faster.