AI-Driven Development
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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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Specify: The Most Important Skill in AI-Driven Development
If you take one thing from this entire series, let it be this: the quality of AI-generated code is bounded by the quality of your specification. No amount of model capability, prompt…
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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…
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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…
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Why “Lines of Code” Is the Wrong Way to Measure AI Productivity in Software Development
Last week, I had a conversation with another CTO that got me thinking about how we measure productivity in the age of AI-assisted software development. Here’s how it went: CTO: Right now,…