<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Welcome on KaiporaLabs</title><link>https://blog.kaiporalabs.ai/</link><description>Recent content in Welcome on KaiporaLabs</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 26 May 2026 09:15:00 -0300</lastBuildDate><atom:link href="https://blog.kaiporalabs.ai/index.xml" rel="self" type="application/rss+xml"/><item><title>What is the Harness?</title><link>https://blog.kaiporalabs.ai/posts/what-is-the-harness/</link><pubDate>Tue, 26 May 2026 09:15:00 -0300</pubDate><guid>https://blog.kaiporalabs.ai/posts/what-is-the-harness/</guid><description>&lt;p&gt;In modern AI-assisted development, the model is rarely the whole product. The &lt;strong&gt;harness&lt;/strong&gt; is everything around it: prompts, context selection, tool wiring, subagent delegation, security boundaries, and the loop that keeps work moving until a task is finished. Cursor&amp;rsquo;s team describes the harness as a multi-year engineering problem — and they are betting that orchestration, not raw model size, is what separates a demo from a daily driver.&lt;/p&gt;</description></item><item><title>What is Claude Code?</title><link>https://blog.kaiporalabs.ai/posts/what-is-claude-code/</link><pubDate>Mon, 25 May 2026 14:30:00 -0300</pubDate><guid>https://blog.kaiporalabs.ai/posts/what-is-claude-code/</guid><description>&lt;p&gt;Claude Code is Anthropic&amp;rsquo;s agentic coding system: a CLI-native assistant that reads your repository, plans multi-step changes, runs commands, and iterates until a task is done. Unlike inline autocomplete, it operates at project scope. You describe an outcome — refactor auth, fix a failing test suite, prepare a release branch — and the agent chooses files, edits, terminal actions, and verification steps within the boundaries you allow.&lt;/p&gt;</description></item><item><title>OpenClaw in practice: Gateway, memory, and the plugin stack</title><link>https://blog.kaiporalabs.ai/posts/openclaw-components/</link><pubDate>Sun, 24 May 2026 10:00:00 -0300</pubDate><guid>https://blog.kaiporalabs.ai/posts/openclaw-components/</guid><description>&lt;p&gt;OpenClaw is an agent platform built around a simple idea: keep the runtime small, push extensibility into plugins, and make memory a first-class concern instead of an afterthought. If you are evaluating it for a team assistant, a personal agent, or an internal ops bot, the fastest way to understand the system is to follow a message from a channel through the Gateway, into memory recall, and back out through tools.&lt;/p&gt;</description></item></channel></rss>