Two Months of Vibe-Coding: Scala, Constraints, Trust and Shipping (medium.com)

Over the past two months, a seasoned programmer transitioned to AI-assisted coding, experiencing significant improvements in productivity, particularly with Scala and its features. The author's primary tools, Claude Code and Junie, have offered remarkable results, effectively handling niche programming challenges such as Scala 3 syntax and complex library integrations. This shift underscores the potential of AI tools to streamline development workflows, even when tackling traditionally troublesome languages, debunking the notion that AI struggles with them. A critical takeaway from this experience is the importance of a robust testing harness over prompt engineering. The author emphasizes that comprehensive testing, types, linters, and structured libraries enhance AI's effectiveness by providing necessary constraints, thus reducing the reliance on potentially errant AI-generated code. With a focus on harnessing the capabilities of AI while maintaining a strong engineering foundation, the author notes that understanding what to build has become paramount in an era where producing code has become cheaper, but maintenance remains a significant cost. This narrative reveals not only the practical impacts of AI on coding practices but also the evolving skill set required to collaborate effectively with these technologies.