From Prompts to Specs: Scaling AI Development with ISL

This case study demonstrates that scaling LLM-driven development requires shifting from unstable prompts to rigorous, compilable specifications like ISL. By successfully generating a complex React dungeon crawler, it proves that ISL maintains consistency and prevents regressions where traditional AI chat workflows typically collapse, marking a move toward predictable AI-assisted engineering.