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How to Use AI Coding Assistants With a Senior Developer's Discipline

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Developers often rely on AI coding assistants to generate entire features, but the generated code may leave critical edge cases unaddressed, such as concurrent token use or cross-organization access. Treating AI like a senior developer means defining precise behavior requirements before generating any code, rather than leaving product decisions to the assistant. Engineers should also prompt the AI to map existing application patterns — covering authorization, validation, and email flows — so generated code aligns with the codebase's established conventions. Tasks should be scoped to what a developer can meaningfully review, ensuring each change produces verifiable, testable behavior. This workflow shifts the developer's role from passive recipient of AI output to active director of its attention and assumptions.

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