목차

Wiki/바이브 코딩

참고문헌

  1. 1개념·정의·리뷰
  2. 2실증 연구 — 실천, 초보, 팀
  3. 3창작 코딩·예술·디자인
  4. 4소리·움직임·공간
  5. 5고전
  6. 6미래 — 예측, 평균, 저작, 노동
  7. 7초록만 확인

참고문헌

본문의 [n]이 아래 번호입니다. 42~49는 어디로 가는가를 위해 추가한 것으로, 예술·경제·이론 쪽 문헌이라 arXiv 밖 출처가 섞여 있습니다. arXiv 링크는 PDF가 열립니다. 전부 ref/ 폴더에 내려받아 읽었고(저장소에는 커밋하지 않음), 읽기 노트는 ref/notes/에 있습니다. 동료심사를 거친 게재처가 논문에 명시된 경우만 적었고, 나머지는 프리프린트입니다. 초록만 본 두 편(40·41)은 따로 표시했습니다.

개념·정의·리뷰

  1. Karpathy, A. (2025-02-02). X 게시물 — "There's a new kind of coding I call 'vibe coding'…" x.com/karpathy/status/1886192184808149383
  2. Sarkar, A. & Drosos, I. (2025). Vibe coding: programming through conversation with artificial intelligence. PPIG 2025. arXiv:2506.23253
  3. Meske, C., Hermanns, T., von der Weiden, E., Loser, K.-U. & Berger, T. (2025). Vibe Coding as a Reconfiguration of Intent Mediation in Software Development. IEEE Access 13. arXiv:2507.21928
  4. Siddeeq, S., Waseem, M., Kemell, K.-K., Saari, M., Rasku, J. & Abrahamsson, P. (2026). Vibe Coding in Software Development: A Multivocal Literature Review. arXiv:2607.21652
  5. Fawzy, A., Tahir, A. & Blincoe, K. (2025). Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook — a Grey Literature Review. arXiv:2510.00328
  6. Fawzy, A., Tahir, A. & Blincoe, K. (2026). From Prompting to Verification: How Experience Shapes Vibe Coding Practices. arXiv:2605.24521
  7. Ge, Y., Mei, L., Duan, Z. et al. (2025). A Survey of Vibe Coding with Large Language Models. arXiv:2510.12399
  8. Sapkota, R., Roumeliotis, K. I. & Karkee, M. (2025). Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI. arXiv:2505.19443
  9. Krings, K., Bohn, N. S. & Ludwig, T. (2025). The (R)evolution of Programming: Vibe Coding as a Post-Coding Paradigm. AARHUS'25 워크숍. arXiv:2510.12364
  10. Jin, H. (2025). Vibe Coding, Interface Flattening. arXiv:2512.24939
  11. Knobel, C. & Radziwill, N. (2025). Vibe Coding: Is Human Nature the Ghost in the Machine? arXiv:2508.20918

실증 연구 — 실천, 초보, 팀

  1. Pimenova, V., Fakhoury, S., Bird, C., Storey, M.-A. & Endres, M. (2025). Good Vibrations? A Qualitative Study of Co-Creation, Communication, Flow, and Trust in Vibe Coding. arXiv:2509.12491
  2. Chou, Y.-H., Jiang, B., Chen, Y. W. et al. (2025). Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding. FSE'26. arXiv:2512.22418
  3. Gama, K., Calegario, F., Jackson, V., Nolte, A., Morais, L. A. & Garcia, V. (2025). "Can you feel the vibes?": An exploration of novice programmer engagement with vibe coding. ICSE 2026 SEET. arXiv:2512.02750
  4. Geng, F., Shah, A., Li, H. et al. (2025). Exploring Student-AI Interactions in Vibe Coding. arXiv:2507.22614
  5. Chen, A. J., Cao, Y., Shao, M., Karri, R. & Shafique, M. (2026). Code for All: Educational Applications of the "Vibe Coding" Hackathon. arXiv:2604.22747
  6. Hu, H., Marjieh, R., Collins, K. M., Li, C., Griffiths, T. L., Sucholutsky, I. & Jacoby, N. (2026). Why Human Guidance Matters in Collaborative Vibe Coding. arXiv:2602.10473
  7. Aiersilan, A. (2026). The Vibe-Check Protocol: Quantifying Cognitive Offloading in AI Programming. arXiv:2601.02410
  8. Li, J., Hou, Y., Lin, L., Zhu, R., Cao, H. & El Ali, A. (2026). Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration. CHIWORK'26. arXiv:2509.10652
  9. Li, T., Maheshwari, T. & Voelker, A. (2025). User-Centered Design with AI in the Loop: A Case Study of Rapid User Interface Prototyping with "Vibe Coding". CI'25. arXiv:2507.21012

창작 코딩·예술·디자인

  1. Angert, T., Suzara, M. I., Han, J., Pondoc, C. L. & Subramonyam, H. (2023). Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts. UIST'23. arXiv:2308.03921
  2. Wang, A., Yin, Z., Hu, Y. et al. (2025). Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Coding. arXiv:2402.09750
  3. Wang, A., Li, Z., Luo, L., Tong, X. & Hui, P. (2026). Reflexa: Uncovering How LLM-Supported Reflection Scaffolding Reshapes Creativity in Creative Coding. arXiv:2601.17769
  4. Zamfirescu-Pereira, J. D., Jun, E., Terry, M., Yang, Q. & Hartmann, B. (2025). Beyond Code Generation: LLM-supported Exploration of the Program Design Space. CHI'25. arXiv:2503.06911
  5. Saghi, Z., Huang, R. & Chattopadhyay, S. (2026). "Like Taking the Path of Least Resistance": Exploring the Impact of LLM Interaction on the Creative Process of Programming. arXiv:2605.13776
  6. Huang, T.-T., Huang, J. Y.-C. & Wensveen, S. (2026). Workmanship of Learning: Embedding Craftsmanship Values in AI-Integrated Educational Tools. CHI EA'26. arXiv:2604.07118
  7. Druga, S. & Ko, A. J. (2025). Scratch Copilot: Supporting Youth Creative Coding with AI. IDC'25. arXiv:2505.03867
  8. Shin, D., Gao, A., Pang, R. Y., Lee, J., Reinecke, K. & Tseng, E. (2026). Interrogating Design Homogenization in Web Vibe Coding. arXiv:2603.13036
  9. Sun, Z., Wen, X., Wang, F., Liu, C., Lai, Y., Hurter, C. & Wang, Y. (2026). Vibe Coding for Visualization Implementation: An Empirical Study of Practices and Challenges. arXiv:2606.19703
  10. Deng, J., Fan, Z. & Meng, R. (2026). Understanding the (In)Security of Vibe-Coded Applications. arXiv:2606.23130

소리·움직임·공간

  1. Kouteili, S., Madhu, H., Typaldos, G. & Santolucito, M. (2025). Embedding Alignment in Code Generation for Audio. arXiv:2508.05473
  2. Zhang, W., Leon, M., Xu, R. et al. (2024). Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages. arXiv:2409.00856
  3. Yuksel, K. A. & Sawaf, H. (2025). AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution. arXiv:2512.08951
  4. Du, R., Hersh, B., Li, D. et al. (2026). Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini. arXiv:2603.24591
  5. Wu, J. & Adar, E. (2025). Exploring Bridges Between Algorithmic and AI-generated Art. arXiv:2406.05508
  6. Baudry, B., Gamage, Y., Gonzalez Fernandez, N., MK, L., Pena Mendieta, R., Souza Pinter, R. & Zacchiroli, S. (2026). Art in Humanity's Code. arXiv:2608.05174

고전

  1. Turkle, S. & Papert, S. (1990). Epistemological Pluralism: Styles and Voices within the Computer Culture. Signs 16(1); 재수록 J. Math. Behavior 11(1), 1992. papert.org 판
  2. Compton, K. & Mateas, M. (2015). Casual Creators. ICCC 2015, 228–235. PDF
  3. Ko, A. J., Abraham, R., Beckwith, L. et al. (2011). The State of the Art in End-User Software Engineering. ACM Computing Surveys 43(3), Art. 21. doi:10.1145/1922649.1922658

미래 — 예측, 평균, 저작, 노동

  1. Welsh, M. (2023). The End of Programming. Communications of the ACM 66(1), 34–35. doi:10.1145/3570220
  2. Karpathy, A. (2026-02). X 게시물 — 바이브 코딩 1주년 회고, "programming via LLM agents … except with more oversight and scrutiny". x.com/karpathy/status/2019137879310836075
  3. Epstein, Z., Hertzmann, A. et al. (2023). Art and the science of generative AI. Science 380(6650), 1110–1111; 확장판 "A deeper dive". arXiv:2306.04141
  4. Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R. & Gal, Y. (2024). AI models collapse when trained on recursively generated data. Nature 631, 755–759. 프리프린트 "The Curse of Recursion". arXiv:2305.17493
  5. Song, X., Cai, Z. & Zhao, L. (2026). When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs. arXiv:2606.28438
  6. Steyerl, H. (2023). Mean Images. New Left Review 140/141, 82–97. monoskop PDF
  7. Manovich, L. & Arielli, E. (2021–2024). Artificial Aesthetics: Generative AI, Art and Visual Media. 9장, 온라인 연재 후 단행본 PDF. manovich.net
  8. U.S. Copyright Office (2025-01-29). Copyright and Artificial Intelligence, Part 2: Copyrightability. copyright.gov/ai

초록만 확인

  1. Waliya, Y. J. (2026). Vibe Coding: AI, Digital Text Recycling, and the Remediation of Digital Poetry. ELO (un)supervised 2026. 초록
  2. Hope or Hype? Understanding Vibe Coding through Software Practitioner Discussions. CHASE'26 — Hacker News 대화 896건(게시물 155, 댓글 7,223) 종단 분석. doi:10.1145/3794860.3794904

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