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AI Systems Collaborate to Build SQLite-Like Database Engine in Rust

By

kyars

3mo ago· 3 min readenInsight

Summary

A developer describes an experiment where they tasked three AI systems (Claude, Codex, and Gemini) to collaboratively build a SQLite-like database engine in Rust. The resulting codebase is approximately 19,000 lines and implements core database components including a parser, planner, volcano executor, pager, B+ trees, write-ahead logging, recovery, joins, aggregates, indexing, transaction semantics, and statistics-aware planning. The project includes 282 AI-written unit tests and supports a subset of SQL, though it likely fails against the official SQLite test suite. The article appears to be a response to a Hacker News discussion about whether such AI-generated code actually works.

Key quotes

· 4 pulled
I tasked Claude, Codex, and Gemini to build a SQLite-like engine in Rust.
~19k lines of code. Parser, planner, volcano executor, pager, b+trees, wal, recovery, joins, aggregates, indexing, transaction semantics, grouped aggregates, and stats-aware planning all implemented.
282 passing ai-written unit tests (this project certainly fails against the official sqlite test suite, so I did not bother testing).
Yes, for a supported subset of SQL. To establish a baseline, I integr
Snippet from the RSS feed
I tasked Claude, Codex, and Gemini to build a SQLite-like engine in Rust.

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