# AI 智能体 KISS Sorcar 8 小时优化 SQLite 提速 59%

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-08 18:33
- AIHOT 分数：47
- AIHOT 链接：https://aihot.virxact.com/items/cmsk8vgn30456roksadv96glc
- 原文链接：https://x.com/rohanpaul_ai/status/2086038118608801981

## AI 摘要

AI 智能体 KISS Sorcar 在不到 8 小时、API 成本低于 $150 的情况下，将 SQLite 优化提速 59%（几何平均 1.59x），且全部 1,032,940 项测试通过。

## 正文

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)

### 引用推文

> Koushik Sen：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 ...