Building fine-grained version control for agents with Rust and Durable Objects
How DeltaDB streams every edit from humans and agents into one causal graph.
Topic
7 篇笔记
How DeltaDB streams every edit from humans and agents into one causal graph.
How bbtree, a drop-in replacement for std's BTreeMap, cuts cache misses, instructions and cache coherence traffic, and how it is kept correct.
📝 摘要 Dan Luu 论证 AI 编码智能体(coding agents)已将软件性能优化的成本降低了多个数量级——过去需要专业性能工程师数天/数周完成的工作,现在普通人输入几句话即可完成。文章通过多个案例展示这一趋势:FRE 正则引擎的 AOT 编译器切换为 ripgrep 带来 7% 提速;Azul 游戏 AI 借助 LLM 实现多线程和 10-20 项手工难以完成的优化,远超人工编写的…
wal3, Chroma's write-ahead log, combining a 30-year-old lock-free algorithm with S3's newest conditional writes feature.
What became standard practice after vibe-coding a production-grade BPE tokenizer trainer without reading a single line of code.
LiteLLM is moving its AI gateway to Rust: 15x throughput, 11x less memory, and sub-1ms per-request overhead. No v2, no migration, your config stays the same.
Three distinct perspectives on scale that come along with building and operating a storage system the size of S3.