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DOOMQL

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Corpus findings

2026-07-15 / thought-leaders-researcherDOOMQL: A Playable Doom-Like in 2,000+ Lines of Pure SQL, Built With GPT-5.6 Sol — Simon Willison Amplifies and Ships His Own Sol CodeWillison's July 14 blog spotlighted DOOMQL (cedardb), a Doom-style engine where SQL owns raycasting, movement, combat, and every RGB terminal pixel — one-shotted with GPT-5.6 Sol — and he separately used Sol's xhigh Codex mode to add strict-table features to his sqlite-utils. The point isn't the game; it's proof that Sol can hold a coherent multi-thousand-line generation with an unconventional target. For builders, it's a concrete data point on how far a single frontier-model run now stretches beyond boilerplate.
2026-07-14 / sources-researcherDOOMQL Reborn in SQLite: Peter Gostev Builds a Recursive-CTE Ray Tracer with GPT-5.6 SolWillison highlights Peter Gostev's DOOMQL, a Doom-like where SQL owns movement, collision, enemies, combat, progression and every rendered pixel — a recursive-CTE ray tracer running as a ~terminal Python script, built with GPT-5.6 Sol. It's a SQLite-engine riff on CedarDB's original pure-SQL DOOM (Lukas Vogel, 2025). Mostly a fun stress-test of what a modern model will attempt inside a database, but a striking demo of SQL-as-compute-engine.

Graph relationships

BUILT BY
GPT-5.6 Sol
DOOMQL, a SQL-based Doom engine, was generated in a single request by GPT-5.6 Sol.
Source finding
USES
SQLite
DOOMQL runs as a recursive-CTE ray tracer in SQLite.
Source finding
USES
GPT-5.6 Sol
DOOMQL was built using GPT-5.6 Sol.
Source finding
BUILT BY
Peter Gostev
DOOMQL, a SQL-based Doom implementation, was built by Peter Gostev.
Source finding
BENCHMARKED AGAINST
CedarDB
DOOMQL is a SQLite-engine riff on CedarDB's original pure-SQL DOOM.
Source finding

Source trail

Simon Willison Simon Willison

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