<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Zhukova blog]]></title><description><![CDATA[Long-form writing on coding agents, AI-native delivery, and the process around the code]]></description><link>https://zhukovka.github.io</link><generator>GatsbyJS</generator><lastBuildDate>Wed, 04 Nov 2026 08:47:22 GMT</lastBuildDate><item><title><![CDATA[When code stops being the bottleneck: the AI-native SDLC]]></title><description><![CDATA[Faster code should mean faster delivery. It doesn't. AI agents changed how fast teams write code. The process around that code mostly stayed where it was.

Anthropic's Claude Academy recently published a course, The AI-native SDLC playbook, that starts from this gap. Its argument:…]]></description><link>https://zhukovka.github.io/blog/when-code-stops-being-the-bottleneck/</link><guid isPermaLink="false">https://zhukovka.github.io/blog/when-code-stops-being-the-bottleneck/</guid><category><![CDATA[Agents]]></category><pubDate>Mon, 02 Nov 2026 00:00:00 GMT</pubDate></item><item><title><![CDATA[Don't pay for what you don't use: context management for coding agents]]></title><description><![CDATA[Your coding agent has a fixed amount of working memory, and most setups burn a big slice of it before the first prompt is typed. The fix is one rule: don't pay for what you don't use. This post is based on Daisy Hollman's talk, How Anthropic uses Claude Code: Agentic Software…]]></description><link>https://zhukovka.github.io/blog/context-management-guide/</link><guid isPermaLink="false">https://zhukovka.github.io/blog/context-management-guide/</guid><category><![CDATA[Agents]]></category><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate></item></channel></rss>