@rohanpaul_ai: Making SQLite 5% faster would already be powerful. Here, an AI agent, KISS Sorcar, got 59% improvement in under 8 hours…

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Summary

An AI agent called KISS Sorcar achieved a verified 1.59x geometric-mean speedup on SQLite across four benchmarks in under 8 hours for less than $150, passing over 1 million SQLite tests. This highlights the growing capability of coding agents.

Making SQLite 5% faster would already be powerful. Here, an AI agent, KISS Sorcar, got 59% improvement in under 8 hours, for less than $150. GitHub repo below: SQLite is one of the most battle-tested codebases on earth. Its team has spent nearly 20 years shaving off tiny performance gains. And it wasn't optimizing some toy benchmark. The gains showed up across transaction-heavy workloads, analytical queries, and blob I/O. The agent found several places where the default setup was paying unnecessary costs, especially around how transactions hit disk, then changed the code and configuration, benchmarked everything, and attacked its own changes for bugs. Over 1 million SQLite tests still pass. This may be one of the more useful demonstrations of where coding agents are heading. - 2.06x on the official speedtest1 (~30k statements) - 1.90x on TATP (OLTP mix: 400k transactions, 100k subscribers) - 1.30x on the Star Schema Benchmark (13 queries x 2, 1.5M-row lineorder) - 1.25x on kvtest (blob I/O: 40k x 10 KB, seq + random + update)
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Cached at: 08/10/26, 03:31 AM

Making SQLite 5% faster would already be powerful.

Here, an AI agent, KISS Sorcar, got 59% improvement in under 8 hours, for less than $150.

GitHub repo below:

SQLite is one of the most battle-tested codebases on earth. Its team has spent nearly 20 years shaving off tiny performance gains.

And it wasn’t optimizing some toy benchmark. The gains showed up across transaction-heavy workloads, analytical queries, and blob I/O.

The agent found several places where the default setup was paying unnecessary costs, especially around how transactions hit disk, then changed the code and configuration, benchmarked everything, and attacked its own changes for bugs.

Over 1 million SQLite tests still pass.

This may be one of the more useful demonstrations of where coding agents are heading.

  • 2.06x on the official speedtest1 (~30k statements)
  • 1.90x on TATP (OLTP mix: 400k transactions, 100k subscribers)
  • 1.30x on the Star Schema Benchmark (13 queries x 2, 1.5M-row lineorder)
  • 1.25x on kvtest (blob I/O: 40k x 10 KB, seq + random + update)

Koushik Sen (@koushik77): I optimized SQLite 3. The optimized build achieves a verified geometric-mean speedup of 1.59x over the pristine latest trunk across four benchmarks:

  • 2.06x on the official speedtest1 (~30k statements)
  • 1.90x on TATP (OLTP mix: 400k transactions, 100k subscribers)
  • 1.30x on

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