The rapid emergence of large language models (LLMs) and AI-powered developer tools is reshaping the foundations of software engineering. What Addy Osmani terms “Vibe Coding” captures a broader paradigm shift from syntax-driven programming to intent-driven software development, where human developers specify goals and constraints while AI systems generate implementation scaffolding. Gene Kim and Steve Yegge extend this discussion by emphasizing that tools alone do not create high-performing engineering organizations; sustainable productivity emerges from sociotechnical systems, DevOps maturity, and continuous learning cultures.
This white paper presents a comprehensive AI-Augmented Software Development Life Cycle (SDLC) model designed specifically for Small and Medium Enterprises (SMEs). While SMEs benefit most from accelerated development cycles enabled by AI coding tools, they also face disproportionate risks from technical debt, security vulnerabilities, and architectural fragility. The proposed framework integrates Vibe Coding into every SDLC phase—requirements engineering, architecture, implementation, testing, deployment, and maintenance—while preserving governance, security-by-design, and platform engineering best practices.
The paper further positions KeenComputer.com and IAS-Research.com as complementary partners delivering “AI-Augmented Software Engineering as a Service.” KeenComputer focuses on production-grade engineering, cloud-native DevOps, cybersecurity, and SME digital transformation, while IAS-Research contributes applied research, advanced modeling, AI architecture, and domain-specific LLM engineering. Together, they provide SMEs with a safe, scalable pathway to operationalize Vibe Coding and AI-native software development.