DOOMQL: An AI-Generated Doom-like Game Using SQLite as the Game Engine

DOOMQL

Peter Gostev built this using GPT-5.6 Sol. This is a lot of fun:

DOOMQL started with a deliberately unreasonable question: what if SQLite were the game engine, not merely the place where a game stores data?

The result is a small, original Doom-like game in which SQL owns movement, collision, enemies, combat, progression and every RGB pixel on screen.

It's implemented as a Python terminal script - I tried it out like this:

cd /tmp
git clone https://github.com/petergpt/doomql
cd doomql
uv run host/doomql.py

Here's the huge SQL query that implements a full ray tracer in SQLite using a recursive CTE.

Running the above script creates a /tmp/doomql/.doomql/doomql.sqlite SQLite database, which you can explore using Datasette like this:

uvx --prerelease=allow  --with datasette-apps datasette \
  /tmp/doomql/.doomql/doomql.sqlite \
  -p 4444 --root --secret 1 --internal internal.db

The --with datasette-apps option installs the new Datasette Apps plugin, which supports creating custom HTML+JavaScript apps that can run SQL queries directly within the Datasette interface.

I created a new app, pasted the copy-paste prompt into Claude chat (Fable 5) and told it:

Build an app that displays the current state of the screen using the frame_pixels view with its x, y, r, g, b columns. have it refresh once a second.

This got me a working HTML+JavaScript app inside Datasette that could reflect the current state while I played the game in my terminal. Then I added:

add a minimap

And now my Datasette App looks like this:

Here's the HTML app code - paste that into your own Datasette instance (using the uvx --with datasette-apps recipe from above) to try it yourself.

Via @petergostev

Tags: games, sql, sqlite, ai, datasette, generative-ai, llms, ai-assisted-programming, gpt, datasette-apps