AI development
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No, Average People Will Not Build Their Own Software With AI
There is a narrative gaining traction in tech circles, on social media, and in breathless conference keynotes that goes something like this: AI will soon let anyone build their own software. Need…
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You Don’t Want a Claude Code Guru
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.…
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The New Bottleneck: Why Clarity Matters More Than Code
For two decades, the fastest engineers were the ones who could write code quickly. They knew the shortcuts, the patterns, the frameworks. Their fingers moved faster than their competitors. That era is…
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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…
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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…
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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…
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Generate: The Art of Effective AI Collaboration
Generation is where the visible work happens. You provide input, and the AI produces code. This is the moment most developers think of when they imagine AI-assisted development. It is also where…
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Specification Templates: A Practical Library for AI Development
In the previous post, I made the case that specification is the highest-leverage skill in AI-driven development. A precise specification produces better output, requires less iteration, and surfaces ambiguity before it becomes…
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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…
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From Waterfall to ADD: Why AI Demands Its Own Methodology
Software development methodologies do not emerge from academic theory or conference talks. They emerge from pain. Practitioners encounter problems that existing approaches cannot solve, and they develop new disciplines to address those…