Vibe coding for ophthalmologists.

Purpose

OF REVIEW Recent advances in large language models (LLMs) have given rise to 'vibe coding', a conversational approach to software development in which users describe desired functionality in natural language and collaborate with an LLM agent to generate functional code. This review examines vibe coding through an ophthalmology-specific lens, identifying where it adds value and how it can be used responsibly. RECENT

Findings

Vibe coding platforms now enable nonprogrammers to create fully functional applications, including user authentication and database integration, from natural language prompts alone. In ophthalmology, clinicians may apply this approach to build clinical workflow, research and medical education tools. These applications are most effective when directed at niche, subspecialty-specific problems that are too small or too specialized to attract commercial development. SUMMARY Vibe coding provides ophthalmologists with a pragmatic pathway to translate unmet needs into executable prototypes. For low-risk applications that do not directly influence clinical decision-making, clinicians may in certain settings be able to deploy vibe-coded tools independently. For higher risk applications, vibe coding does not replace professional software development, but it enables experimentation, clarifies user needs, and makes ideas more tangible. With appropriate guardrails, vibe coding can accelerate clinician-led innovation while preserving safety and accountability.