<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Engineering Practices on 梦兽编程</title><link>https://rexai.top/en/tags/engineering-practices/</link><description>Recent content in Engineering Practices on 梦兽编程</description><generator>Hugo -- 0.163.3</generator><language>en</language><copyright>梦兽编程</copyright><lastBuildDate>Mon, 27 Jul 2026 23:30:00 +0800</lastBuildDate><atom:link href="https://rexai.top/en/tags/engineering-practices/index.xml" rel="self" type="application/rss+xml"/><item><title>11 Days, 64 AIs, 530K Lines of Code: A Complete Engineering Retrospective on Rewriting Bun from Zig to Rust</title><link>https://rexai.top/en/posts/2026-07-28-bun-rewrite-rust/</link><pubDate>Mon, 27 Jul 2026 23:30:00 +0800</pubDate><guid>https://rexai.top/en/posts/2026-07-28-bun-rewrite-rust/</guid><description>Jarred Sumner used Claude Fable 5 and 50 dynamic workflows to rewrite 535,496 lines of Zig into Rust in 11 days. An agent pipeline of 1 implementer + 2 adversarial reviewers, peaking at 1,300 lines of code per minute. This isn&amp;#39;t &amp;#39;AI helping you write code&amp;#39; — this is &amp;#39;AI helping you make decisions.&amp;#39;</description></item><item><title>Stop Teaching AI to Code Step by Step: The Claude Code Team's #1 Advice Is 'Give It Back Its Judgment'</title><link>https://rexai.top/en/posts/2026-07-28-let-ai-judge/</link><pubDate>Mon, 27 Jul 2026 23:00:00 +0800</pubDate><guid>https://rexai.top/en/posts/2026-07-28-let-ai-judge/</guid><description>The counterintuitive advice from the Claude Code team at AIE 2026: don&amp;#39;t tell Fable when to write tests — let it decide for itself. Likewise, let Fable decide which tasks should be delegated to cheaper models. This strategy is not only cheaper, but more effective.</description></item><item><title>After AI Codes 10x Faster Than You, the Only Skill That Holds Value Is 'Understanding'</title><link>https://rexai.top/en/posts/2026-07-28-understand-to-participate/</link><pubDate>Mon, 27 Jul 2026 22:00:00 +0800</pubDate><guid>https://rexai.top/en/posts/2026-07-28-understand-to-participate/</guid><description>When AI can rewrite a JavaScript runtime in days, &amp;#39;being able to write code&amp;#39; is no longer a moat. Geoffrey Litt proposes &amp;#39;understand to participate,&amp;#39; pointing directly at the core paradox of AI programming: the faster the code is written, the shallower the understanding, and the heavier the cognitive debt.</description></item><item><title>AI Agents Don't Forget — Their Context Suffocates: A Context Lifecycle Framework</title><link>https://rexai.top/en/posts/2026-07-27-agent-context-lifecycle/</link><pubDate>Mon, 27 Jul 2026 11:00:00 +0800</pubDate><guid>https://rexai.top/en/posts/2026-07-27-agent-context-lifecycle/</guid><description>An Agent&amp;#39;s memory problem isn&amp;#39;t usually missing a vector database — it&amp;#39;s missing a context lifecycle. Drawing on five primitive operations from recent research, this article presents an engineering approach that moves from piling up chat logs to verifiable context management.</description></item><item><title>RAG + Web Search Still Gets It Wrong: The Three-Stage Fact Chain for AI Agents</title><link>https://rexai.top/en/posts/2026-07-27-agent-web-retrieval-failure-chain/</link><pubDate>Mon, 27 Jul 2026 10:00:00 +0800</pubDate><guid>https://rexai.top/en/posts/2026-07-27-agent-web-retrieval-failure-chain/</guid><description>Giving an AI Agent web search isn&amp;#39;t just about plugging in a tool. Drawing on a multilingual news retrieval benchmark, this article breaks down the three-stage fact chain — query formulation, retrieval, and evidence verification — and presents verifiable acceptance criteria you can implement in production.</description></item></channel></rss>