Kakao Releases Case Collection on Integrating SDLC for AI-Native Transformation

Kakao Tech has released a case collection on execution and adoption for AI-native transformation. This document goes beyond simple tool adoption, outlining the vision of 'agent-based reengineering' to intelligently automate the entire software development lifecycle (SDLC).

Developing with AI: Integrating the Entire SDLC

Kakao presents a three-stage roadmap: accelerating development tasks, expanding pre- and post-processes, and system integration. AI supports not only coding speed but also planning, design, review, and operational issue analysis, implementing a seamless workflow where humans and AI interact.

• Planning and Design: AI-assisted requirements analysis, idea validation, and architecture design support
• Coding and Code Quality Management: Vibe coding, AI-based refactoring, real-time code review, and static analysis
• Quality Assurance and Operations: Automation via TestLAB AI, deployment management and monitoring via Kakao Release

Adoption: Embedding AI-Native Culture Across the Company

Efforts to establish an AI collaboration culture within the organization are also introduced. Key initiatives include improving development environments, establishing AI ethics principles, and fostering an experimental culture that encourages failure.

• Education and Guides: Customized internal education programs and AI collaboration standard rulebooks
• Evaluation Systems: Building development environments and evaluation frameworks to measure the impact of AI adoption
• Columns: In-depth analyses, including success stories of AI-native transformation in open-source technologies