Kakao Reveals Vibe Coding Experiment Results: 2x Productivity Boost in Production

Kakao verified the practical applicability of 'Vibe Coding' through interviews and experiments with its internal developers. Vibe Coding, a concept proposed by Andrej Karpathy, is a method where developers describe their intent verbally and AI implements the code.

Experiment Results in Production Environments

Kakao conducted experiments in a live microservices environment targeting the open-source verification platform OLIVE project. Three practical developers performed various tasks including feature development, refactoring, and migration. The results showed that productivity improved by approximately 2x, and task completion time was reduced to less than half of the estimated duration.

• Case 1: Dependency Analyzer feature expansion (Estimated 2–3 days → Actual 1 day)
• Case 2: Manual Component registration feature (Estimated 3–5 days → Actual 2.5 days)
• Case 3: Initial tasks for Angular to React migration (Estimated 5 days → Actual 2.5 days)

The code generated by AI met production-level quality standards without requiring separate refactoring and passed peer reviews.

Collaboration Methods and Future Outlook

Rather than pure Vibe Coding, 'collaboration with AI agents' involving human judgment and verification was identified as the key. Developers handle direction and quality control, while agents perform repetitive tasks. Kakao anticipates that this approach will be a turning point that changes the paradigm of software development, and is paying attention to the evolution of multi-agent collaboration technologies such as MCP (Model Context Protocol) and A2A (Agent-to-Agent).