Topic
8 篇笔记
📝 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…
Tech debt has rules. You cut a corner to ship on time, you write a comment that says TODO fix this, and six months later someone pays it down. It is annoying but it is bounded. A senior engineer can look at a codebase with tech debt and draw a map of where the bodies are buried.
Notes from my Thoughtworks colleagues on AI-assisted software delivery
or: the harness is not enoughUpdate - the talk version of this post is live on youtube: https://www.youtube.com/watch?v=Ib5GBkD555M Part 1 i...
Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.
Open source software is the foundation of much of our digital infrastructure. However, is AI undermining the incentive structure? What needs to change?
Shift from AI experimentation to execution. Discover how Thoughtworks AI/works™ reshapes the economics of software delivery.
A new model and inference method for high-accuracy full-file edits at 1000 tokens/s.