LLMs, DSLs, and the Art of Generating Generators for Leaner Systems

Can a combo of Large Language Models (LLMs) and Domain-Specific Languages (DSLs) streamline development by automating repetitive patterns across teams? In this Mob Mentality Show episode, we dive deep into the intersection of AI-driven automation, code generation, and lean software development.

Join us as we explore:
✅ The "Generator for the Generator" Concept – How AI-powered tools and Mob Programming can create DSLs that automate code generation at scale.
✅ Handling Cross-Domain Development with DSLs – How DSL arguments can be leveraged to generate applications across multiple domains while maintaining usability.
✅ Serverless Infrastructure as Code (IaC) & Auto-Generated Apps – How to use DSLs to automate cloud deployment with Angular or Streamlit apps.
✅ The Challenge of UI/UX in Generated Code – When UI is too generic, does it hurt usability? Can a DSL strike the right balance between automation and user experience?
✅ Regeneration vs. Continuous Development – Should teams work exclusively in the DSL, or also refine the code it generates? How to handle sync issues when regenerating applications.
✅ Turning Docs into Code with a DSL Converter – Automating workflows by transforming team documentation into executable code.
✅ Mob Automationist Role Inception – Is the next evolution of Mob Programming automating the automation?
✅ ZOMBIE Test Generation & Nested Python Dictionaries – How automated testing fits into the DSL-driven workflow and whether a DSL can be as simple as a structured Python dictionary.

🎯 Whether you’re a software engineer, an agile practitioner, or just fascinated by AI-driven development, this episode is packed with real-world insights into DSLs, LLMs, and the future of lean automation.

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Video and Show Notes: https://youtu.be/0q3jaX6_bfw