Vibe Coding The Canary In The Coal
Source: AI Goes to College
Author: Craig Van Slyke
Original source: https://aigoestocollege.substack.com/p/vibe-coding-the-canary-in-the-coal
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Summary
Craig Van Slyke argues that vibe coding — building software through natural-language collaboration with AI rather than writing code directly — is an early signal of how AI may transform knowledge work. He describes building several personally useful micro-apps despite not having coded in decades, including faculty-oriented task management, time-blocking, and project tracking tools. The central education implication is that higher education should not treat AI as a narrow academic-integrity issue; it should help faculty and students experience AI-enabled work directly because current students are preparing for knowledge-work jobs likely to be reshaped by AI.
Big ideas
Claims
Key evidence and examples
- Van Slyke built functional micro-apps without writing code by prompting, testing, and iterating with AI.
- The examples are small and practical: task management, time blocking, project tracking, recommendation-letter tracking, assignment feedback banks, paper submission trackers, reading queues, committee meeting prep, and email template libraries.
- He distinguishes novice-facing vibe coding tools from expert developer tools.
- He acknowledges that vibe coding is not currently suitable for complex, large-scale applications and may produce inefficient or lower-quality code.
- He frames software development as the leading edge of broader AI-driven change in knowledge work.
Education relevance
This article is relevant to higher education, AI literacy, faculty development, and workforce preparation. It suggests faculty need firsthand experience with AI-enabled work in order to understand how professional workflows and student career preparation may change.