Your Guide to Building Smarter & Faster with AI-Powered Development
Want to enhance development productivity without compromising code quality?
Our team put vibe coding—an AI-powered, natural language approach to software development that simplifies the coding process—to the test so you don’t have to. We used Windsurf by Codeium, powered by Claude 3.5 Sonnet, to build Scopic People—an internal tool that unifies employee data from multiple systems.
This comprehensive guide explains how we achieved a 90% reduction in development time compared to traditional methods, providing valuable insights for anyone interested in adopting AI-assisted development practices.
Here’s what our FREE Vibe Coding Guide includes to help you produce high-quality code with minimal human intervention:
Methodology & Approach
Tool Development Process
Results & Outcomes
Challenges & Solutions
Future Implications
Best Practices
Explore the Full Potential of LLM-Powered Code!
About the author
About the author
Mladen Lazic, COO of Scopic, joined the company in 2011 as a Developer and quickly rose to become respectively a Technical Lead and Director of Engineering. His exceptional contributions led to his promotion to Vice President of Engineering and Operations in 2020. As of 2022, he was promoted to COO.
In his current role, Mladen heads the overall business operations of Scopic, works with the CEO, Tim Burr, and the Management Team to implement the company’s strategic vision and values. He is also responsible for planning, implementing, managing, and overseeing multiple departments, including engineering, from a higher level. In 2023, he joined the Board of Directors, solidifying his position as a key member of Scopic’s leadership team.
FAQs
Vibe coding is a term used to describe the process of building software by giving natural language instructions to an AI—rather than writing traditional code line by line. In this experiment, developers guided an AI model (Claude 3.5 Sonnet via Windsurf) with conversational prompts to generate and iterate on code.
A fully functional internal tool was built in 9 hours — instead of the estimated 144–180 hours — with quality that met production standards.
Yes — but start small. The whitepaper outlines best practices, like breaking tasks down and using AI for boilerplate/code scaffolding.
Yes — while most code was generated by AI, humans refined prompts, performed code review, and stepped in when needed.
Yes — we integrate AI assistance into custom dev workflows where it’s a fit. Explore our AI Development services.