GPT-5.6 Sol powers SQL-based game engine prototype
Source published ·Modelwire updated
Original coverage: Simon Willison ↗·How Modelwire adds context
The development
Peter Gostev used GPT-5.6 Sol to build DOOMQL, a proof-of-concept that replaces traditional game engines with SQLite as the core runtime. The project demonstrates how modern LLMs can tackle unconventional architectural problems: SQL queries now handle collision detection, enemy AI, rendering, and player movement in a playable Doom-like terminal game. This signals a shift in how developers think about LLM-assisted systems design, moving beyond chatbots toward using AI to explore radical reimaginings of foundational software patterns.
Modelwire’s AI-generated summary of coverage from Simon Willison.
Modelwire analysis
ExplainerOur AI-generated reading of the wider context and the next developments to watch.
The real story here isn't that Doom got reimplemented again. It's that SQL, a query language built around set operations on tabular data, is being used to express stateful, real-time simulation logic, and an LLM generated that architectural leap rather than a human engineer reaching for it deliberately.
Modelwire has no prior coverage to anchor this to directly. It sits at the intersection of two threads the site hasn't yet tracked: LLM-assisted software architecture exploration, and the growing practice of using constrained or unexpected substrates (databases, spreadsheets, config formats) as general-purpose compute. The closest intellectual neighborhood would be coverage of GPT-5-class models tackling open-ended engineering tasks, but without that archive, this stands alone as an early data point.
Watch whether Gostev or others publish performance benchmarks comparing the SQLite runtime against a minimal C engine on equivalent scene complexity. If query-based collision detection holds acceptable frame rates past trivial map sizes, the architectural argument becomes harder to dismiss as a stunt.
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MentionsPeter Gostev · GPT-5.6 Sol · DOOMQL · SQLite · Simon Willison
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Modelwire summarizes, we don’t republish. Simon Willison originally reported this story as “DOOMQL”. The full content lives on simonwillison.net. If you’re a publisher and want a different summarization policy for your work, see our takedown page.