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AI agents wrote DoltLite in 2,000 PRs — a SQLite fork that passes 5.8 million tests

DoltHub needed a proving ground for Gas Town, Steve Yegge’s orchestrator that runs 20-30 Claude Code instances on one codebase. The result just hit Beta: DoltLite, a SQLite fork with the B-tree storage layer swapped for a Prolly Tree, built in 5 months by a team of AI agents across roughly 2,000 pull requests.

What it is

An embedded, SQLite-compatible database — a C library, not a server — that treats your data like Git treats code: branch, merge, diff, rebase, cherry-pick. The numbers hold up: 100% of sqllogictest’s 5.8 million queries, 99.46% of SQLite’s 892,277 acceptance tests. Cost: in-memory reads 10% slower, writes 60% slower; file mode near parity.

Open source, drop-in API

DoltLite is open source and keeps the SQLite API, so existing code mostly just works. DoltHub acts as the sync backend — push, pull, clone your database like a repo. Obvious fit: AI agents that need versioned local state they can fork and roll back.

Why it matters

Nobody hand-reviews 2,000 PRs into a database engine. Agents shipped systems-level software and the test suite — not a human — vouched for it. Strongest agentic-engineering proof point this year.


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