Surviving an AI bubble burst: A developer’s Local AI survival kit
What happens when your favorite AI coding assistant disappears overnight?

Thinker & AI Dreamer
Ricardo Antonio Piana is an Italian CTO, indie game developer, and AI architect whose career began in childhood, programming a Z80 computer in elementary school. Over the decades he has worked across a wide spectrum of technologies—from early Windows development to industrial automation, multimedia production, mobile apps, and pioneering conversational AI. He is co-founder of Userbot, a former director in multiple tech ventures, and today leads vision-driven projects where software architecture, machine learning, and human-centric design intersect. He is best known for wardrome space game, a sprawling sci-fi transmedia project that blends Unity-based game development, AI-generated content, cinematics, and a rich narrative world powered by innovative systems like the RIDLEY Engine. Alongside Wardrome, he builds an entire ecosystem of AI-enhanced products such as KnightPaths, BrainPuzzle.fun, AdFit, FABULA, and SOR (Son of Ricardo)—a personal AI assistant integrating voice interfaces, RAG systems, and multilingual funnels. His technical approach mixes autonomy, lean processes, and continuous experimentation, often supported by custom infrastructure and advanced LLM workflows. Beyond engineering, Ricardo is active in filmmaking, writing, and personal branding. His soundtrack releases appear on Spotify and major platforms, while his articles and newsletters bring together AI, game design, and tech culture with a signature mix of clarity and irony. A remote-work advocate with strong environmental values, he lives near Mount Etna while navigating adoption bureaucracy and building a future where technology empowers people “one millimeter at a time.”

What happens when your favorite AI coding assistant disappears overnight?

What if a superintelligent coding AI had emerged in 2012 and declared jQuery and PHP “good enough” for all time? In this alternate history, the web never evolves. No React, no component paradigms, no open-source renaissance: only a perfect stagnation masked by machine efficiency. This essay explores how AI, when trained only to imitate the past, can freeze the future. And it asks a chilling question: what if that future isn’t fiction, but our present unfolding in slow motion?

Apple computers are now widely used in software and AI development, but they lack certain tools that would help standardize work and facilitate migration to platforms better suited for training.
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