Articles
From Autocomplete to Agents: How AI Coding Methods Are Evolving
Adapt to AI coding tools by strengthening specification, context, tests, bounded delegation, diff review, and explanation.
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Articles
Adapt to AI coding tools by strengthening specification, context, tests, bounded delegation, diff review, and explanation.
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Use an understand–plan–change–run–test–checkpoint loop that works with Git or a course's required submission method.
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Review generated code line by line for requirements, assumptions, dependencies, tests, security, scope, and explainability.
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Recognize invented citations and APIs, sample-only code, hidden assumptions, and unnecessary complexity in AI output.
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Replace repeated prompts with tested code when inputs, outputs, operations, and failures can be defined explicitly.
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Organize source, tests, documentation, scripts, and examples in a small project skeleton that makes expected work easy to find.
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Write observable success criteria for scope, behavior, tests, documentation, and delivery before beginning a project.
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Design a small meaningful test set covering normal behavior, important boundaries, and invalid inputs.