@NinjaCyborg: Good question! Tools like Cursor and Claude Code are great general-purpose coding assistants, but they lack deep Amiga-specific knowledge. Ask any generic AI about Copper list timing, Blitter channel priorities, or how to set up an A1200 interrupt handler — you'll get vague or wrong answers.
Amigo AI is built on a custom RAG system (Retrieval-Augmented Generation) with over 49 million knowledge chunks from Amiga-specific sources — hardware references, programming guides, magazine archives, demo scene tutorials. It knows the difference between OCS, ECS and AGA, understands the Custom Chips at register level, and can help with 68000 Assembly, AMOS, Blitz Basic, C and ARexx with actual Amiga context. The base LLM is an open-source model (Qwen3 8B) specifically configured for this domain — not a generic ChatGPT with a prompt in front of it.
Plus it has a built-in AROS emulator and code editor — you write code, test it, and get AI help all in one place. That's something Cursor can't do for Amiga development.
@walkero: Thanks for the interest! The knowledge base currently focuses on classic AmigaOS (1.x-3.x), hardware documentation and 68000 development. AmigaOS 4, MorphOS and AROS are covered to some extent through community documentation in the RAG, but the depth isn't as strong yet as for classic Amiga topics. Expanding coverage for these platforms is definitely on the roadmap — if you have good documentation sources for OS4/MorphOS, I'd be happy to include them.
I'm also currently developing a Dual-LLM system with a specialized coding model for programming questions, which will significantly improve code generation quality. Stay tuned!
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