Efficiency Upgrade for developers

Developers solve problems. Good developers solve problems efficiently. The reward for that efficiency is [insert your preferred reward here]. Let’s assume you’re simply motivated by the satisfaction of a job well done (or maybe a promotion, a raise, longer lunch breaks, or just some extra time with your family). Whatever the motivation, the secret to solving problems efficiently is not inventing everything from scratch. Certainly the secret is not spinning your mental wheels hoping for inspiration. And most definitely the secret is not using
Intellisense to arbitrarily try classes, methods, and properties until something works.
The secret to solving development problems efficiently is having the right information and the means to find the information you don’t have.
If you have been developing software for more than a week, you know that a working knowledge of language syntax and program construction
(that is, “programming”) is only a small part of the necessary skill set for solving problems with software. As a developer, you need to understand the technologies, processes, and methods available to you. You also need to have a set of reliable resources you can turn to when you encounter problems.
Below you will find some resource recommendations to help you find the information you need to help solve development problems more efficiently so you can get on with living the rest of your life.

SCRUM Methodology

The system development process is complicated and complex. Therefore maximum flexibility and appropriate control is required. Evolution favors those that operate with maximum exposure to environmental change and have optimised for flexible adaptation to change. Evolution deselects those who have insulated themselves from environmental change and have minimized chaos and complexity in their environment.
An approach is needed that enables development teams to operate adaptively within a complex environment using imprecise processes. Complex system development occurs under rapidly changing circumstances. Producing orderly systems under chaotic circumstances requires maximum flexibility. The closer the development team operates to the edge of chaos, while still maintaining order, the more competitive and useful the resulting system will be. Langton has modeled this effect in computer simulations13 and his work has provided this as a fundamental theorem in complexity theory.
Methodology may well be the most important factor in determining the probability of success. Methodologies that encourage and support flexibility have a high degree of tolerance for changes in other variables. With these methodologies, the development process is regarded as unpredictable at the onset, and control mechanisms are put in place to manage the unpredictability.
If we graph the relationship between environmental complexity and probability of success with a flexible methodology that incorporates controls and risk management, the tolerance for change is more durable.