Engineering is the practical application of the scientific method under constraint.
Engineering turns uncertainty into evidence through hypotheses, experiments, and measured outcomes. Constraints are not exceptions to this process, they are the environment it runs in. Good engineering is not prediction, it is disciplined learning under real limits.
Reading path
Theory Of Constraints
Understanding why improving anything other than your system's single constraint produces no improvement at all
- leadership-fundamentals
5 min read
CAP Theorem
Understanding the impossibility of simultaneously guaranteeing Consistency, Availability, and Partition tolerance in distributed systems
- engineering-fundamentals
5 min read
Little's Law
Mathematical foundation for understanding workflow: work in progress, throughput, and lead time are mathematically linked in every stable system
- engineering-practices
4 min read
The Case for Shorter Feedback Cycles
Why multiple formal frameworks from control theory to learning science all converge on the same conclusion about rapid feedback
- engineering-fundamentals
- leadership-fundamentals
5 min read
The Four Accelerate Metrics
Lead time, deployment frequency, mean time to restore, and change fail percentage measure what actually matters in software delivery.
- leadership-practices
11 min read
Feature Flags
Understanding how feature flags separate deployment from release and enable safe, gradual rollouts in production
- engineering-practices
5 min read
Choosing an Architecture
A practical guide to selecting the right architectural pattern based on what actually changes in your codebase
- engineering-fundamentals
- leadership-fundamentals
7 min read
Some Architectures Work Better with LLMs Than Others
Architectural patterns that emphasize code locality work better with LLM-assisted development than patterns optimizing for shared abstractions.
- AI
- engineering-practices
7 min read
Falsifiability for Engineers
Why the most valuable engineering claims are the ones that can be proven wrong, and how to make yours worth something
- engineering-fundamentals
5 min read
Jevons Paradox and Software Engineering
Every efficiency gain in software's 70-year history has expanded the industry, not contracted it. AI follows the same pattern.
- leadership-fundamentals
6 min read