https://erolrecep.github.io/tags/vibe-coding/ Recent content in Vibe Coding on Recep's Technical Blog Hugo en-US Fri, 16 Oct 2026 12:08:00 -0500 https://erolrecep.github.io/posts/vibecoding-for-scientists-researchers/ Fri, 16 Oct 2026 12:08:00 -0500 https://erolrecep.github.io/posts/vibecoding-for-scientists-researchers/ <p><em>Moving Science Forward with a New Way of Practice</em></p> <hr> <h2 id="abstract">Abstract</h2> <p>In empirical research, progress is frequently constrained not by the breadth of human scientific imagination, but by the friction of computational implementation. While the broader tech community has embraced &ldquo;vibe coding&rdquo; as a rapid prototyping methodology for consumer applications, this article formalizes <strong>vibe coding habits for scientists and researchers</strong> as a disciplined, hypothesis-driven workflow for computational scholars, graduate students, and faculty. By coupling declarative natural language intent with zero-trust synthetic benchmarking, invariant assertion, and automated provenance tracking, researchers can compress months of pipeline engineering into hours without compromising scientific reproducibility or mathematical validity.</p> https://erolrecep.github.io/posts/vibecoding/ Thu, 15 Oct 2026 11:37:00 -0500 https://erolrecep.github.io/posts/vibecoding/ <p><em>From Imperative Syntax to Declarative Intent in Computational Scholarship</em></p> <hr> <h2 id="abstract">Abstract</h2> <p>In the contemporary computational landscape, the primary bottleneck of software creation is migrating from mechanical syntax to conceptual clarity. Coined by Andrej Karpathy, the term &ldquo;vibe coding&rdquo; captures a paradigm shift in which natural language serves as a declarative programming interface, with large language models (LLMs) managing implementation, scaffolding, and error triage. For academic researchers, doctoral candidates, and interdisciplinary scholars, this transformation represents both an unprecedented accelerator for scientific tooling and a pedagogical challenge to traditional notions of algorithmic literacy. This article outlines the theoretical foundations, operational mechanics, epistemic trade-offs, and verification disciplines required to wield vibe coding with scientific rigor.</p>