<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Lorbic</title><link>http://localhost:1313/tags/ai/</link><description>Recent content in Ai on Lorbic</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0530</lastBuildDate><atom:link href="http://localhost:1313/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>How Multi-Tenant SaaS Actually Works</title><link>http://localhost:1313/how-multi-tenant-saas-works/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0530</pubDate><guid>http://localhost:1313/how-multi-tenant-saas-works/</guid><description>&lt;p>For the past month I have been reading about multi-tenant SaaS architecture. Not as an academic exercise. I kept running into the same questions on every project I looked at: where exactly does tenant data go, how do you stop one customer&amp;rsquo;s bug from becoming every customer&amp;rsquo;s problem, how does billing actually work at the database level. The blog posts I found were either too abstract or skipped the hard parts entirely.&lt;/p></description></item><item><title>AI Coding in 2026: Productivity Multipliers vs. Skill Replacements</title><link>http://localhost:1313/ai-coding-productivity-vs-skill/</link><pubDate>Sat, 28 Mar 2026 23:00:00 +0530</pubDate><guid>http://localhost:1313/ai-coding-productivity-vs-skill/</guid><description>&lt;p>&amp;ldquo;Write a REST API with authentication&amp;rdquo;.&lt;/p>
&lt;p>I hit enter. Thirty seconds later, Claude spat out 400 lines of perfectly formatted Go code. JWT middleware, password hashing, error handling, even rate limiting. It looked professional. It looked production-ready.&lt;/p>
&lt;p>It took me three hours to figure out why the token refresh logic had a race condition.&lt;/p>
&lt;p>This is AI-assisted coding in 2026. It&amp;rsquo;s not magic. It&amp;rsquo;s not a replacement. It&amp;rsquo;s a very fast junior developer that never gets tired, never complains, and confidently makes mistakes you won&amp;rsquo;t catch unless you actually understand the &lt;strong>architectural nuances&lt;/strong> of what you&amp;rsquo;re building.&lt;/p></description></item><item><title>I Added Session Management to Aider</title><link>http://localhost:1313/aider-session-management/</link><pubDate>Thu, 15 Jan 2026 20:30:00 +0530</pubDate><guid>http://localhost:1313/aider-session-management/</guid><description>&lt;p>I&amp;rsquo;ve been using &lt;a href="https://aider.chat" target="_blank" rel="noopener noreferrer">aider&lt;/a> as my primary AI coding assistant for a while now. It&amp;rsquo;s the one tool that actually fits my workflow: terminal-based, Git-native, and it works directly on my local files. No copy-pasting into web forms. No context windows that forget everything. And not waiting for agents to keep thinking.&lt;/p>
&lt;p>But it was missing one thing that drove me crazy.&lt;/p>
&lt;h2 id="the-problem-context-evaporates">The Problem: Context Evaporates&lt;a class="anchorjs-link" href="#the-problem-context-evaporates" aria-label="Link to section: The Problem: Context Evaporates">&lt;/a>&lt;/h2>&lt;p>Here&amp;rsquo;s the scenario. I&amp;rsquo;m deep into a complex refactor. I&amp;rsquo;ve added 15 files to the chat, built up tons of context with the model, and we&amp;rsquo;re making real progress.&lt;/p></description></item><item><title>Setting Up Llama 2 with Docker on Your Gaming Laptop Using Ollama</title><link>http://localhost:1313/setting-up-llama-2-with-docker-on-your-gaming-laptop-using-ollama/</link><pubDate>Sat, 02 Dec 2023 13:40:01 +0000</pubDate><guid>http://localhost:1313/setting-up-llama-2-with-docker-on-your-gaming-laptop-using-ollama/</guid><description>&lt;p>This article is simple guide on setting up Llama 2, a powerful large language model, on your gaming laptop using Docker and the Ollama platform. Ollama makes it very easy to run many LLMs locally. In this detailed article, I&amp;rsquo;ll cover each step, such as Ollama installation and ease of interaction through a Chat GPT-like UI. Before we go into the technical details, let&amp;rsquo;s understand what a large language model is.&lt;/p></description></item></channel></rss>