The job posting practically writes itself these days. “Looking for a senior developer proficient with AI coding tools. Must be comfortable using Claude Code, Cursor, or Copilot to rapidly produce production-ready code. We need someone who can 10x our output.” I have seen variations of this everywhere over the past year. Companies scrambling to find…
Category: Artificial Intelligence
Evaluate: Why Human Judgment Is Non-Negotiable
We have arrived at the phase of ADD where the most important human skill comes into play. You have written a specification. You have generated code using appropriate context and patterns. Now you must determine whether that code is actually correct. This is not a formality. AI-generated code can be syntactically correct, pass basic tests,…
Prompt Patterns Catalog, Part 2: Iteration, Verification, and Persona
In the previous post, I introduced three foundational prompt patterns: Decomposition for breaking complex tasks into manageable units, Exemplar for teaching by example, and Constraint for defining boundaries. These patterns address the most common generation challenges. This post completes the catalog with three more patterns, then addresses the practical question of building and maintaining a…
Prompt Patterns Catalog: Decomposition, Exemplar, Constraint
Software developers are familiar with design patterns. The Gang of Four cataloged reusable solutions to recurring problems in object-oriented design. You learn patterns like Strategy, Observer, and Factory not because they are theoretically interesting but because they solve problems you encounter repeatedly. Once you know the pattern, you recognize the problem and reach for a…
The Quiet Builders: A History of Introverts in Engineering and What AI Means for the Future
Throughout human history, there has always been a place where the quiet ones could excel. A domain where deep thinking mattered more than small talk, where careful analysis outweighed charisma, and where the quality of your work spoke louder than the volume of your voice. That place has been engineering. From the mathematicians of ancient…
ADD: AI-Driven Development as a Methodology for the Future Engineer
Software development has always evolved through methodologies that structure how we think about building systems. Waterfall gave way to Agile. Test-Driven Development changed how we approach correctness. Behavior-Driven Development shifted focus toward specifications that non-technical stakeholders could understand. Each methodology emerged because the existing approaches no longer fit the reality of how software was actually…
The Future Engineer: What Software Development Looks Like When AI Handles the Code
The software industry has entered a period of genuine transformation. After decades of incremental tooling improvements, AI-assisted development is introducing changes that feel qualitatively different from what came before. Code completion, automated testing, and intelligent refactoring are no longer experimental features but daily realities for many developers. This shift raises uncomfortable questions about the future…
Code Is for Humans, Not Machines: Why AI Will Not Make Syntax Obsolete
With AI, “everybody is a programmer.” You do not need to learn syntax anymore. Just describe what you want, and the machine will write the code for you. If you have spent any meaningful time in this profession, you are probably laughing right now. Or at least shaking your head. This narrative has become extraordinarily…